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US20200117925A1 - Parking spot identification for vehicle park-assist - Google Patents

Parking spot identification for vehicle park-assist Download PDF

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Publication number
US20200117925A1
US20200117925A1 US16/159,300 US201816159300A US2020117925A1 US 20200117925 A1 US20200117925 A1 US 20200117925A1 US 201816159300 A US201816159300 A US 201816159300A US 2020117925 A1 US2020117925 A1 US 2020117925A1
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United States
Prior art keywords
vehicle
park
potential
identification
controller
Prior art date
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Granted
Application number
US16/159,300
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US10628687B1 (en
Inventor
Markus Krekel
Cinderella Matuk
Ahmed Benmimoun
Lars KUHNERT
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Ford Global Technologies LLC
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Ford Global Technologies LLC
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Priority to US16/159,300 priority Critical patent/US10628687B1/en
Assigned to FORD GLOBAL TECHNOLOGIES, LLC reassignment FORD GLOBAL TECHNOLOGIES, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: Matuk, Cinderella, BENMIMOUN, AHMED, Krekel, Markus, KUHNERT, Lars
Priority to CN201910955035.3A priority patent/CN111047900A/en
Priority to DE102019127367.6A priority patent/DE102019127367A1/en
Publication of US20200117925A1 publication Critical patent/US20200117925A1/en
Application granted granted Critical
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/06Automatic manoeuvring for parking
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • G08G1/143Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces inside the vehicles
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/586Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of parking space
    • G06K9/00812
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/18Propelling the vehicle
    • B60W30/18009Propelling the vehicle related to particular drive situations
    • B60W30/18163Lane change; Overtaking manoeuvres
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/107Longitudinal acceleration
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001Planning or execution of driving tasks
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62DMOTOR VEHICLES; TRAILERS
    • B62D15/00Steering not otherwise provided for
    • B62D15/02Steering position indicators ; Steering position determination; Steering aids
    • B62D15/027Parking aids, e.g. instruction means
    • B62D15/0285Parking performed automatically
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0278Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/168Driving aids for parking, e.g. acoustic or visual feedback on parking space
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2510/00Input parameters relating to a particular sub-units
    • B60W2510/20Steering systems
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2520/00Input parameters relating to overall vehicle dynamics
    • B60W2520/10Longitudinal speed
    • B60W2520/105Longitudinal acceleration
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00Input parameters relating to data
    • B60W2556/45External transmission of data to or from the vehicle
    • B60W2556/50External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2556/00Input parameters relating to data
    • B60W2556/45External transmission of data to or from the vehicle
    • B60W2556/55External transmission of data to or from the vehicle using telemetry
    • G05D2201/0213

Definitions

  • the present disclosure generally relates to park-assist and, more specifically, to parking spot identification for vehicle park-assist.
  • vehicles include autonomous or semi-autonomous driving systems that enable the vehicles to be driven with reduced driver input.
  • a vehicle with an autonomous or semi-autonomous driving system includes sensors that collect information of a surrounding environment of the vehicle.
  • the autonomous or semi-autonomous driving system performs motive functions (e.g., steering, accelerating, braking, etc.) based on the collected information.
  • motive functions e.g., steering, accelerating, braking, etc.
  • Some driving systems utilize information collected from sensors to autonomously or semi-autonomously park a vehicle into an identified parking spot (e.g., a parallel parking spot, a perpendicular parking spot, an angled parking spot).
  • Example embodiments are shown for parking spot identification for vehicle park-assist.
  • An example disclosed vehicle includes range-detection sensors, an acceleration sensor, an autonomy unit to perform park-assist, and a controller.
  • the controller is configured to determine, via the acceleration sensor, whether the vehicle is accelerating.
  • the controller also is to, responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors.
  • the controller also is to, responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots.
  • the acceleration sensor includes a vehicle speed sensor. In some examples, the acceleration sensor includes an accelerator pedal position sensor.
  • Some examples further include a display to present a representation of a parking spot identified by the controller.
  • the autonomy unit is to perform the park-assist to park the vehicle in the parking spot identified by the controller.
  • the controller is to suppress the identification of the potential parking spots responsive to determining, via the range-detection sensors, that the vehicle is passing or being passed by another vehicle.
  • the controller when the vehicle is in one of a plurality of lanes designated for a same direction-of-travel, the controller is to suppress the identification of potential parallel parking spots along a side of the vehicle while detecting one or more of the plurality of lanes on the side of the vehicle.
  • Some examples further include a GPS receiver to identify a vehicle location. In such examples, the controller is to determine whether to suppress the identification of the potential parking spots based on the vehicle location. Some such examples further include a communication module to retrieve parking information for the vehicle location. In such examples, the controller is to determine whether to suppress the identification of the potential parking spots for the vehicle location based on the parking information.
  • the controller is to suppress the identification of a potential perpendicular parking spot in front of the vehicle responsive to detecting that the vehicle is located on a road. In some such examples, the controller is to suppress the identification of the potential perpendicular parking spot for remote park-assist.
  • Some examples further include a steering angle sensor.
  • the controller is to suppress the identification of a potential perpendicular parking spot in front of the vehicle upon determining, via the steering angle sensor and the range-detection sensors, that the vehicle is turning away from the potential perpendicular parking spot.
  • the controller is to suppress the identification of the potential perpendicular parking spot based on the steering wheel angle sensor in response to detecting that the vehicle is at least one of within a parking lot and approaching a bend in a road.
  • the controller is to override suppressing the identification of the potential parking spots responsive to determining that a current driving pattern of the vehicle corresponds with a parking lot.
  • An example disclosed method includes determining whether a vehicle is accelerating via an acceleration sensor.
  • the example disclosed method also includes identifying, via a processor and range-detection sensors, potential parking spots for a park-assist system of the vehicle responsive to determining that the vehicle is not accelerating.
  • the examples disclosed method also includes suppressing, via the processor, identification of the potential parking spots responsive to detecting that the vehicle is accelerating.
  • An example disclosed vehicle includes range-detection sensors, a human-machine interface (HMI) unit including a display, and a controller.
  • the controller is configured to identify a potential parking spot via the range- detection sensors.
  • the controller also is configured to present, via the display, an interface depicting the potential parking spot and receive, via the HMI unit, a confirmation or a correction from an operator.
  • the example disclosed vehicle also includes an autonomy unit to perform park-assist into the potential parking spot responsive to the controller receiving the confirmation.
  • the controller responsive to receiving the correction, is to determine whether the correction corresponds with another potential parking spot. In some such examples, responsive to the controller determining that the correction corresponds with the other potential parking spot, the autonomy unit is to perform the park-assist into the other potential parking spot. Further, in some such examples, the controller is to store identification of the potential parking spot or the other potential parking spot in a parking map. Moreover, some such examples further include a communication module that is configured to transmit the parking map to a remote server.
  • FIG. 1 illustrates an example vehicle in accordance with the teachings herein.
  • FIG. 2 is a block diagram of electronic components of the vehicle of FIG. 1 .
  • FIG. 3 depicts an example scenario for a park-assist system of the vehicle of FIG. 1 .
  • FIG. 4 depicts another example scenario for a park-assist system of the vehicle of FIG. 1 .
  • FIG. 5 depicts another example scenario for a park-assist system of the vehicle of FIG. 1 .
  • FIG. 6 depicts another example scenario for a park-assist system of the vehicle of FIG. 1 .
  • FIGS. 7A-7B depict another example scenario for a park-assist system of the vehicle of FIG. 1 .
  • FIG. 8 is a flowchart for identifying parking spots for vehicle park-assist in accordance with the teachings herein.
  • vehicles include autonomous or semi-autonomous driving systems that enable the vehicles to be driven with reduced driver input.
  • a vehicle with an autonomous or semi-autonomous driving system includes sensors that collect information of a surrounding environment of the vehicle.
  • the autonomous or semi-autonomous driving system performs motive functions (e.g., steering, accelerating, braking, etc.) based on the collected information.
  • motive functions e.g., steering, accelerating, braking, etc.
  • Some driving systems utilize information collected from sensors to autonomously or semi-autonomously park a vehicle into an identified parking spot (e.g., a parallel parking spot, a perpendicular parking spot, an angled parking spot).
  • Some autonomous parking systems of vehicles identify parking spots without prompting by operators (e.g., drivers) of the vehicles.
  • an autonomous parking system potentially may identify an available parking spot where no parking spot is, in fact, present.
  • some autonomous parking systems potentially may identify false positives for parking spots.
  • some false positives potentially may be a result of vehicle sensors (e.g., ultrasonic sensors, radar sensors, lidar sensors, cameras) detecting a constant gap over time between two or more moving objects.
  • vehicle sensors e.g., ultrasonic sensors, radar sensors, lidar sensors, cameras
  • an autonomous parking system potentially may fail to identify an available parking spot where a parking spot is, in fact, present. In other words, some autonomous parking systems potentially may identify false negatives for parking spots.
  • Example methods and apparatus disclosed herein include a vehicle park-assist system that deters false negatives and false positives when identifying potential available parking spots.
  • Examples disclosed herein include a park-assist system that determines whether to search for available parking spots based on characteristics of a vehicle and/or characteristics of a surrounding environment of the vehicle. If the characteristics correspond with a parking event of the vehicle, the park-assist system enables identification of the potential available parking spots. If the characteristics do not correspond with a parking event of the vehicle, the park-assist system suppresses identification of the potential available parking spots to prevent false positives from being identified.
  • the park-assist system simultaneously (1) enables identification of the potential available parking spots in one direction (e.g., to the left) of the vehicle and (2) suppresses identification of the potential available parking spots in another direction (e.g., to the right) of the vehicle.
  • examples disclosed herein include an interface that enables an operator (e.g., a driver) of the vehicle to correct a parking spot identified by a park-assist system, thereby reducing the number of false negatives and false positives for available parking spots.
  • vehicle park-assist and “park-assist” refer to a system in which a vehicle controls its motive functions without direct steering or velocity input from a driver to autonomously park within a parking spot.
  • vehicle remote park-assist and “remote park-assist” refer to a system in which a vehicle controls its motive functions without direct steering or velocity input from a driver to autonomously park within a parking spot while the driver is located outside of the vehicle.
  • an autonomy unit of a remote park-assist system controls the motive functions of the vehicle upon receiving a remote initiation signal from a driver.
  • FIG. 1 illustrates an example vehicle 100 in accordance with the teachings herein.
  • the vehicle 100 may be a standard gasoline powered vehicle, a hybrid vehicle, an electric vehicle, a fuel cell vehicle, and/or any other mobility implement type of vehicle.
  • the vehicle 100 includes parts related to mobility, such as a powertrain with an engine, a transmission, a suspension, a driveshaft, and/or wheels, etc.
  • the vehicle 100 may be semi-autonomous (e.g., some routine motive functions controlled by the vehicle 100 ) or autonomous (e.g., motive functions are controlled by the vehicle 100 without direct driver input).
  • the vehicle 100 includes a steering wheel 102 and an acceleration pedal 104 .
  • the steering wheel 102 enables an operator (e.g., a driver) to steer the vehicle 100 for non-autonomous and/or semi-autonomous motive functions.
  • the acceleration pedal 104 enables the vehicle 100 to accelerate the vehicle 100 for non-autonomous and/or semi-autonomous motive functions.
  • the vehicle 100 of the illustrated example includes a steering wheel angle sensor 106 , an acceleration pedal sensor 108 , and a vehicle speed sensor 110 .
  • the steering wheel angle sensor 106 is configured to detect an angle of the steering wheel 102 .
  • the steering wheel angle sensor 106 monitors the steering wheel 102 to detect whether, in which direction, and/or to what degree the operator is turning the steering wheel 102 .
  • the acceleration pedal sensor 108 is configured to detect a position and/or angle of the acceleration pedal 104 .
  • the acceleration pedal sensor 108 monitors the acceleration pedal 104 to detect (i) whether the operator is engaging the acceleration pedal 104 , (ii) to what degree the operator has actuated the acceleration pedal 104 , and/or an (iii) acceleration of the vehicle 100 that corresponds with actuation of the acceleration pedal 104 .
  • the vehicle speed sensor 110 detects a speed at which the vehicle 100 is travelling along a surface.
  • the vehicle speed sensor 110 is configured to detect an acceleration of the vehicle 100 by monitoring a speed of the vehicle 100 over a period of time. That is, the vehicle 100 includes one or more acceleration sensors, such as the acceleration pedal sensor 108 and/or the vehicle speed sensor 110 , that are configured to monitor an acceleration of the vehicle 100 .
  • the vehicle 100 also includes range-detection sensors.
  • the range-detection sensors enable the vehicle 100 to perform autonomous and/or semi-autonomous driving maneuvers.
  • a “range-detection sensor” refers to an electronic device that is configured to collect information to detect a presence of and distance to nearby object(s).
  • the range-detection sensors of the vehicle 100 include proximity sensors 112 and cameras 114 .
  • the proximity sensors 112 are configured to detect the presence, proximity, and/or location of object(s) near the vehicle 100 .
  • the proximity sensors 112 include radar sensor(s), lidar sensor(s), ultrasonic sensor(s), and/or any other sensor configured to detect the presence, proximity, and/or location of nearby object(s).
  • a radar sensor detects and locates an object via radio waves
  • a lidar sensor detects and locates the object via lasers
  • an ultrasonic sensor detects and locates the object via ultrasound waves.
  • the cameras 114 capture image(s) and/or video of a surrounding area of the vehicle 100 to enable nearby object(s) to be identified and located.
  • the range-detection sensors e.g., the proximity sensors 112 , the cameras 114
  • the range-detection sensors are located on each side of the vehicle 100 (e.g., front, rear, left, right) to enable the range-detection sensors in monitoring each portion of the surrounding area of the vehicle 100 .
  • the measurements collected by the range-detection sensors over time are utilized to determine a velocity and/or an acceleration of the vehicle 100 .
  • the vehicle 100 of FIG. 1 includes a global positioning system (GPS) receiver 116 and a display 118 .
  • the GPS receiver 116 is configured to receive a signal from a global positioning system to identify a location of the vehicle 100 .
  • the display 118 is configured to present interface(s) and/or other output information to an occupant of the vehicle 100 .
  • the display 118 is a center console display (e.g., a liquid crystal display (LCD), an organic light emitting diode (OLED) display, a flat panel display, a solid state display, etc.) and/or a heads-up display.
  • the display 118 is a touchscreen that is configured to collect input information from an occupant.
  • the vehicle 100 of the illustrated example also includes a communication module 120 that includes wired or wireless network interfaces to enable communication with other devices and/or external networks.
  • the communication module 120 also includes hardware (e.g., processors, memory, storage, antenna, etc.) and software to control the wired or wireless network interfaces.
  • the communication module 120 includes one or more communication controllers for cellular networks, such as Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), Long Term Evolution (LTE), Code Division Multiple Access (CDMA).
  • GSM Global System for Mobile Communications
  • UMTS Universal Mobile Telecommunications System
  • LTE Long Term Evolution
  • CDMA Code Division Multiple Access
  • the communication module 120 includes a wireless personal area network (WPAN) module that is configured to wirelessly communicate with a mobile device (e.g., a key fob, a smart phone, a wearable, a smart watch, a tablet, etc.) of an operator and/or other occupant of the vehicle 100 via short-range wireless communication protocol(s).
  • a mobile device e.g., a key fob, a smart phone, a wearable, a smart watch, a tablet, etc.
  • BLE Bluetooth® Low Energy
  • the Bluetooth® and BLE protocols are set forth in Volume 6 of the Bluetooth® Specification 4.0 (and subsequent revisions) maintained by the Bluetooth® Special Interest Group.
  • the communication module 120 is configured to wirelessly communicate via Wi-Fi®, Near Field Communication (NFC), ultra-wide band (UWB) communication, ultra-high frequency (UHF) communication, low frequency (LF) communication, and/or any other communication protocol that enables the communication module 120 to communicatively couple to a mobile device.
  • Wi-Fi® Near Field Communication
  • NFC Near Field Communication
  • UWB ultra-wide band
  • UHF ultra-high frequency
  • LF low frequency
  • the vehicle 100 includes an autonomy unit 122 .
  • the autonomy unit 122 is an electronic control unit (e.g., one of a plurality of electronic control units 208 of FIG. 2 ).
  • the autonomy unit 122 is configured to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 based upon, at least in part, data collected by the proximity sensors 112 , the cameras 114 , and/or other range-detection sensors of the vehicle 100 .
  • the autonomy unit 122 performs autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 for park-assist.
  • the vehicle 100 of FIG. 1 also includes a park-assist controller 124 that is configured to control operation of a park-assist system of the vehicle 100 .
  • the park-assist controller 124 is configured to collect vehicle data of the vehicle 100 .
  • the vehicle data includes a speed (e.g., collected via the vehicle speed sensor 110 ), an acceleration (e.g., collected via an acceleration sensor), a location (e.g., collected via the GPS receiver 116 ), a direction-of-travel (e.g., determined via the GPS receiver 116 ), a turn angle (e.g., collected via the steering wheel angle sensor 106 ), a driving pattern, etc.
  • the park-assist controller 124 is configured to collect data of a surrounding environment of the vehicle 100 .
  • the environment data include proximity data (e.g., collected via the range-detection sensors) of nearby object(s) and/or location-classification information (e.g., collected via the range-detection sensors, a remote server, etc.).
  • the location-classification information identifies (i) a road along which the vehicle 100 is travelling, (ii) how many lanes the road includes, (iii) in which lane of the road the vehicle 100 is travelling, (iv) a width of the lane, (v) whether the road is bending (vi) whether the vehicle 100 is in a construction zone, (vii) whether the vehicle 100 is in a parking lot, (viii) whether the vehicle 100 is in a settlement area, etc.
  • the park-assist controller 124 is configured to determine whether to suppress identification of potential parking spot(s). If the park-assist controller 124 determines to suppress identification of potential parking spot(s), the vehicle 100 does not monitor for potential parking spot(s) and/or present potential parking spot(s) to the operator. If the park-assist controller 124 determines to not suppress identification of potential parking spot(s), the vehicle 100 monitors for potential parking spot(s) based on data collected by the range-detection sensors. For example, if the park-assist controller 124 identifies a potential parking spot, the park-assist controller 124 presents, via the display 118 , a representation of the potential parking spot.
  • the display 118 presents an interface depicting the potential parking spot to the operator.
  • the park-assist controller 124 is configured to instruct the autonomy unit 122 to perform the park-assist motive functions to autonomously and/or semi-autonomously park the vehicle 100 in the parking spot identified by the park-assist controller 124 .
  • FIG. 2 is a block diagram of electronic components 200 of the vehicle 100 .
  • the electronic components 200 include an on-board computing platform 202 , a human-machine interface (HMI) unit 204 , the communication module 120 , the GPS receiver 116 , sensors 206 , electronic control units (ECUs) 208 , and a vehicle data bus 210 .
  • HMI human-machine interface
  • ECUs electronice control units
  • the on-board computing platform 202 includes a processor 212 (also referred to as a microcontroller unit and a controller) and memory 214 .
  • the processor 212 of the on-board computing platform 202 is structured to include the park-assist controller 124 .
  • the park-assist controller 124 is incorporated into one of the ECUs 208 with its own processor and memory.
  • the processor 212 may be any suitable processing device or set of processing devices such as, but not limited to, a microprocessor, a microcontroller-based platform, an integrated circuit, one or more field programmable gate arrays (FPGAs), and/or one or more application-specific integrated circuits (ASICs).
  • FPGAs field programmable gate arrays
  • ASICs application-specific integrated circuits
  • the memory 214 may be volatile memory (e.g., RAM including non-volatile RAM, magnetic RAM, ferroelectric RAM, etc.), non-volatile memory (e.g., disk memory, FLASH memory, EPROMs, EEPROMs, memristor-based non-volatile solid-state memory, etc.), unalterable memory (e.g., EPROMs), read-only memory, and/or high-capacity storage devices (e.g., hard drives, solid state drives, etc.).
  • the memory 214 includes multiple kinds of memory, particularly volatile memory and non-volatile memory.
  • the memory 214 is computer readable media on which one or more sets of instructions, such as the software for operating the methods of the present disclosure, can be embedded.
  • the instructions may embody one or more of the methods or logic as described herein.
  • the instructions reside completely, or at least partially, within any one or more of the memory 214 , the computer readable medium, and/or within the processor 212 during execution of the instructions.
  • non-transitory computer-readable medium and “computer-readable medium” include a single medium or multiple media, such as a centralized or distributed database, and/or associated caches and servers that store one or more sets of instructions. Further, the terms “non-transitory computer-readable medium” and “computer-readable medium” include any tangible medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor or that cause a system to perform any one or more of the methods or operations disclosed herein. As used herein, the term “computer readable medium” is expressly defined to include any type of computer readable storage device and/or storage disk and to exclude propagating signals.
  • the HMI unit 204 provides an interface between the vehicle 100 and a user.
  • the HMI unit 204 includes digital and/or analog interfaces (e.g., input devices and output devices) to receive input from and display information for the user(s).
  • the input devices include, for example, a cabin microphone 216 , other audio input device(s), a control knob, an instrument panel, a digital camera for image capture and/or visual command recognition, a touchscreen (e.g. the display 118 ), button(s), a touchpad, etc.
  • the output devices may include the display 118 , instrument cluster outputs (e.g., dials, lighting devices), actuators, speakers, etc.
  • the HMI unit 204 includes hardware (e.g., a processor or controller, memory, storage, etc.) and software (e.g., an operating system, etc.) for an infotainment system (such as SYNC® and MyFord Touch® by Ford®). Additionally, the HMI unit 204 displays the infotainment system on, for example, the display 118 .
  • hardware e.g., a processor or controller, memory, storage, etc.
  • software e.g., an operating system, etc.
  • the HMI unit 204 displays the infotainment system on, for example, the display 118 .
  • the communication module 120 of the illustrated example is configured to communicate with a remote server 218 of an external network 220 .
  • the external network 220 is a public network, such as the Internet; a private network, such as an intranet; or combinations thereof.
  • the external network 220 utilizes a variety of networking protocols now available or later developed including, but not limited to, TCP/IP-based networking protocols.
  • the sensors 206 are arranged in and/or around the vehicle 100 to monitor properties of the vehicle 100 and/or an environment in which the vehicle 100 is located.
  • One or more of the sensors 206 may be mounted to measure properties around an exterior of the vehicle 100 .
  • one or more of the sensors 206 may be mounted inside a cabin of the vehicle 100 or in a body of the vehicle 100 (e.g., an engine compartment, wheel wells, etc.) to measure properties in an interior of the vehicle 100 .
  • the sensors 206 include accelerometers, odometers, tachometers, pitch and yaw sensors, wheel speed sensors, tire pressure sensors, biometric sensors and/or sensors of any other suitable type.
  • the sensors 206 include the acceleration pedal sensor 108 , the steering wheel angle sensor 106 , the vehicle speed sensor 110 , the proximity sensors 112 , and the cameras 114 .
  • the ECUs 208 monitor and control the subsystems of the vehicle 100 .
  • the ECUs 208 are discrete sets of electronics that include their own circuit(s) (e.g., integrated circuits, microprocessors, memory, storage, etc.) and firmware, sensors, actuators, and/or mounting hardware.
  • the ECUs 208 communicate and exchange information via a vehicle data bus (e.g., the vehicle data bus 210 ).
  • the ECUs 208 may communicate properties (e.g., status of the ECUs 208 , sensor readings, control state, error and diagnostic codes, etc.) to and/or receive requests from each other.
  • the vehicle 100 may have dozens of the ECUs 208 that are positioned in various locations around the vehicle 100 and are communicatively coupled by the vehicle data bus 210 .
  • the ECUs 208 include the autonomy unit 122 , a speed control unit 222 , a camera module 224 , and a steering angle sensor module 226 .
  • the autonomy unit 122 is configured to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 .
  • the speed control unit 222 is configured to monitor and/or control a speed at which the vehicle 100 travels.
  • the camera module 224 controls one or more cameras 114 to collect image(s) and/or video, for example, that are presented to occupant(s) of the vehicle 100 via the display 118 and/or analyzed to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 .
  • the steering angle sensor module 226 includes and/or is communicatively coupled to the steering wheel angle sensor 106 to monitor a steering angle of the steering wheel 102 .
  • the vehicle data bus 210 communicatively couples the GPS receiver 116 , the communication module 120 , the on-board computing platform 202 , the HMI unit 204 , the sensors 206 , and the ECUs 208 .
  • the vehicle data bus 210 includes one or more data buses.
  • the vehicle data bus 210 may be implemented in accordance with a controller area network (CAN) bus protocol as defined by International Standards Organization (ISO) 11898-1, a Media Oriented Systems Transport (MOST) bus protocol, a CAN flexible data (CAN-FD) bus protocol (ISO 11898-7) and/a K-line bus protocol (ISO 9141 and ISO 14230-1), and/or an EthernetTM bus protocol IEEE 802.3 (2002 onwards), etc.
  • CAN controller area network
  • FIG. 3 depicts an example scenario for a park-assist system of the vehicle 100 .
  • the vehicle 100 is travelling along a road 300 .
  • the road 300 is a multi-lane road that includes a plurality of lanes designated for a same direction-of-travel.
  • the road 300 includes a lane 302 (e.g., an outer lane), a lane 304 (e.g., an inner lane), and a lane 306 (e.g., an outer lane) that are each designated for the same direction-of-travel.
  • a lane 302 e.g., an outer lane
  • a lane 304 e.g., an inner lane
  • a lane 306 e.g., an outer lane
  • the road 300 includes (1) outer lines 308 (e.g., solid lines) that define the outer limits of the road and (2) inner lines 310 (e.g., dashed lines) that separate the lanes 302 , 304 , 306 from each other.
  • outer lines 308 e.g., solid lines
  • inner lines 310 e.g., dashed lines
  • the vehicle 100 is approaching a sign 312 located along the side of the road 300 .
  • the sign 312 identifies that the vehicle 100 is within and/or is approaching a construction zone.
  • the vehicle 100 is proximate to a plurality of other vehicles 314 positioned on and/or along the road 300 .
  • a vehicle 314 a, a vehicle 314 b, and a vehicle 316 c are parked (e.g., parallel parked) along a side of the road 300 adjacent to the vehicle 100 .
  • the vehicle 100 is travelling within the lane 302 of the road 300 .
  • a vehicle 314 d, a vehicle 314 e, and a vehicle 314 f are travelling within the lane 304 adjacent to the vehicle 100 .
  • the vehicle 314 g is travelling within the lane 306 of the road 300 .
  • the park-assist controller 124 of the vehicle 100 determines whether to suppress identification of potential parking spot(s) based on collected vehicle data and/or environmental data. In the illustrated example, the park-assist controller 124 of the vehicle 100 determines whether to suppress identification of a potential spot 316 (e.g., a potential parallel spot to the left of the vehicle 100 ), a potential spot 318 (e.g., a potential perpendicular spot in front of the vehicle 100 ), and/or a potential spot 320 (e.g., a potential perpendicular spot to the right of the vehicle 100 ).
  • a potential spot 316 e.g., a potential parallel spot to the left of the vehicle 100
  • a potential spot 318 e.g., a potential perpendicular spot in front of the vehicle 100
  • a potential spot 320 e.g., a potential perpendicular spot to the right of the vehicle 100 .
  • the park-assist controller 124 is configured to determine whether to suppress identification of potential parking spot(s) based on an acceleration of the vehicle 100 . For example, the park-assist controller 124 determines whether the vehicle 100 is accelerating via an acceleration sensor, such as the acceleration pedal sensor 108 , the vehicle speed sensor 110 , the proximity sensors 112 , and/or the cameras 114 . In response to the park-assist controller 124 determining that the vehicle 100 is accelerating, the park-assist controller 124 suppresses identification of potential parking spot(s) near the vehicle 100 .
  • an acceleration sensor such as the acceleration pedal sensor 108 , the vehicle speed sensor 110 , the proximity sensors 112 , and/or the cameras 114 .
  • the park-assist controller 124 suppresses identification of potential parking spot(s) near the vehicle 100 .
  • the park-assist controller 124 in response to the park-assist controller 124 determining that the vehicle 100 is not accelerating (e.g., is decelerating or is travelling at a constant speed), the park-assist controller 124 enables identification potential parking spot(s) (e.g., the potential spot 316 ). For example, the park-assist controller 124 enables identification of potential parking spot(s) 100 via the range-detection sensors (e.g., the proximity sensors 112 , the cameras 114 ) of the vehicle 100 .
  • the range-detection sensors e.g., the proximity sensors 112 , the cameras 114
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on an acceleration of the vehicle 100 relative to one or more of the other vehicles 314 that are travelling on the road 300 with the vehicle 100 .
  • the park-assist controller 124 suppresses identification of potential parking spot(s) near the vehicle 100 in response to detecting that the vehicle 100 is passing or being passed by one or more of the other vehicles 314 on the road 300 .
  • the park-assist controller 124 determines, via the range-detection sensors, whether the vehicle 100 is passing and/or is being passed by one or more of the other vehicles 314 on the road 300 .
  • the park-assist controller 124 in response to detecting that the that the vehicle 100 is passing or being passed by one or more of the other vehicles 314 on the road 300 , the park-assist controller 124 enables identification of potential parking spot(s) via the range-detection sensors.
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a vehicle location. For example, the park-assist controller 124 suppresses identification of potential parking spot(s) when the vehicle 100 is at a location at which no parking spots are available. The park-assist controller 124 is configured to suppress identification of potential parking spot(s) upon determining that the vehicle 100 is in a construction zone, a settlement area, and/or any other location at which parking spots are unavailable. In some examples, the park-assist controller 124 determines that the vehicle 100 is in an area in which parking spots are unavailable based on the range-detection sensors.
  • the park-assist controller 124 utilizes image-recognition software to detect that the vehicle 100 is within and/or approaching a construction zone based on image(s) and/or video of the sign 312 that are captured by one or more of the cameras 114 . Further, in some examples, the park-assist controller 124 is configured to determine the vehicle 100 is in an area in which parking spots are unavailable based on parking information for the location of the vehicle 100 . For example, the park-assist controller 124 is configured to (1) identify the vehicle location via the GPS receiver 116 and (2) retrieve parking information for the vehicle location from a remote server (e.g., the remote server 218 ) via the communication module 120 .
  • a remote server e.g., the remote server 218
  • the park-assist controller 124 of the vehicle 100 of the illustrated example is configured to override suppression of the identification of the potential parking spots based on a vehicle location. For example, the park-assist controller 124 overrides suppressing the identification of the potential parking spots in response to determining that the current vehicle location corresponds with a parking lot (e.g., a permanent parking lot such as a parking structure, a temporary parking lot such as a field). In some examples, the park-assist controller 124 is configured to determine that the vehicle 100 is located in a parking lot based on information collected via the range-detection sensors and/or the GPS receiver 116 .
  • a parking lot e.g., a permanent parking lot such as a parking structure, a temporary parking lot such as a field.
  • the park-assist controller 124 is configured to determine that the vehicle 100 is located in a parking lot based on information collected via the range-detection sensors and/or the GPS receiver 116 .
  • the park-assist controller 124 is configured to determine that the vehicle 100 is located in a parking lot by monitoring a current driving pattern of the vehicle 100 . For example, the park-assist controller 124 determines that the vehicle 100 is in a parking lot upon detecting a series of driving maneuvers (e.g., quick turns, short forward motions) associated with a vehicle driving through a parking lot.
  • a series of driving maneuvers e.g., quick turns, short forward motions
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 within the road 300 .
  • the park-assist controller 124 is configured to suppress identification of a potential parking spot in front of the vehicle 100 , such as the potential spot 318 , in response to detecting that the vehicle 100 is travelling in a lane (e.g., the lane 302 ) of the road 300 .
  • the park-assist controller 124 suppresses identification of parallel parking spots along a side of the vehicle 100 while detecting (e.g., via the range-detection sensors) that one or more other lanes of the road is on that side of the vehicle 100 .
  • the park-assist controller 124 suppresses identification of parallel parking spots to the right of the vehicle 100 such as the potential spot 320 .
  • park-assist controller 124 enables identification of parallel parking spots along a side of the vehicle 100 while detecting (e.g., via the range-detection sensors) that no other lane of the road is on that side of the vehicle 100 . For example, when the vehicle 100 is travelling in the lane 302 of the road 300 , the park-assist controller 124 enables identification of parallel parking spots to the left of the vehicle 100 such as the potential spot 316 . That is, in some examples, the park-assist controller 124 enables identification of potential parking spots in some direction(s) (e.g., to the left) and suppresses identification of potential parking spots in other direction(s) (e.g., to the right, in the front).
  • some direction(s) e.g., to the left
  • other direction(s) e.g., to the right, in the front
  • the park-assist controller 124 (1) suppresses identification of potential parking spot(s) when one or more of a plurality of conditions is not met and (2) enables identification of potential parking spot(s) when each of the plurality of conditions is met.
  • the park-assist controller 124 is configured to suppress identification when the vehicle 100 is (1) accelerating, (2) passing another vehicle, (3) being passed by another vehicle, (4) in a construction zone, (5) in a settlement area, and/or (6) in a middle lane.
  • the park-assist controller 124 is configured to enable identification when the vehicle 100 is not (1) accelerating, (2) passing another vehicle, (3) being passed by another vehicle, (4) in a construction zone, (5) in a settlement area, and (6) in a middle lane.
  • FIG. 4 depicts another example scenario for the park-assist system of the vehicle 100 .
  • the vehicle 100 is travelling along a road 400 .
  • the road 400 is a single-lane road that includes lines 402 (e.g., solid lines) to define the outer limits of the road 400 .
  • the vehicle 100 is proximate to a plurality of other vehicles 404 parked along sides of the road 400 .
  • a vehicle 404 a is parked along a left side of the road 400
  • a vehicle 404 b and a vehicle 404 c are parked along a right side of the road 400 .
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 relative to the road 400 . For example, upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116 ) that the vehicle 100 is located on the road 400 , the park-assist controller suppresses identification of a potential spot 406 in front of the vehicle 100 . That is, the park-assist controller 124 is configured to suppress identification of potential parking spot(s) that are located on the road 400 .
  • the park-assist controller 124 is configured to suppress identification of potential perpendicular parking spot(s) (e.g., the potential spot 406 ) for remote park-assist that is in front of the vehicle 100 and/or when the vehicle 100 is located in the road. Further, in the illustrated example, the park-assist controller 124 enables identification of a potential spot 408 that is located along a side of the road 400 (e.g., to the left of the vehicle 100 ).
  • FIG. 5 depicts another example scenario for the park-assist system of the vehicle 100 .
  • the vehicle 100 is travelling along a road 500 .
  • the road 500 is a multi-lane road that includes a plurality of lanes designated for a same direction-of-travel.
  • the road 500 includes a lane 502 (e.g., an outer lane), a lane 504 (e.g., an inner lane), and a lane 506 (e.g., an outer lane) that are each designated for the same direction-of-travel.
  • the road 500 is approaching an intersection with a traffic light 508 .
  • the vehicle 100 is proximate to a plurality of other vehicles 510 positioned on the road 500 .
  • a vehicle 510 a and a vehicle 510 b are located within the lane 502
  • a vehicle 510 c is located within the lane 504
  • a vehicle 510 d and a vehicle 510 e are located within the lane 506 .
  • the other vehicles 510 are stopped at the intersection based on a status of the traffic light 508 (e.g., a red light is illuminated).
  • the vehicle 100 is approaching the other vehicles 510 that are in the road 500 and stopped at the intersection.
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 relative to the road 500 and/or the other vehicles 510 . For example, upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116 ) that the vehicle 100 is located in the lane 504 of the road 500 , the park-assist controller suppresses identification of a potential spot 512 that is in front of the vehicle 100 and between the other vehicles 510 . That is, the park-assist controller 124 is configured to suppress identification of potential parking spot(s) located on the road 500 .
  • FIG. 6 depicts another example scenario for the park-assist system of the vehicle 100 .
  • the vehicle 100 is travelling along a road 600 .
  • the vehicle 100 is approaching a turn or bend 602 in the road 600 .
  • Objects 604 e.g., trees, bushes, rocks, road barriers, signs, support posts, etc.
  • Objects 604 are located to a side of the bend 602 of the road 600 such that the objects 604 are in front of the vehicle 100 as the vehicle 100 approaches the bend.
  • an object 604 a and an object 604 b are positioned such that there is a gap between the object 604 a and the object 604 b that corresponds with a size of a potential spot 606 (e.g., a potential perpendicular parking spot). Further, the object 604 a and the object 604 b are located relative to the bend 602 in the road 600 such that the potential spot 606 is in front of the vehicle 100 as the vehicle 100 approaches the bend 602 .
  • a potential spot 606 e.g., a potential perpendicular parking spot
  • the park-assist controller 124 of the vehicle 100 of the illustrated example is configured to determine whether to suppress identification of a potential perpendicular parking spot (e.g., the potential spot 606 ) in front of the vehicle 100 based on a steering path of the vehicle 100 .
  • the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of a potential perpendicular parking spot in front of the vehicle 100 based on an angle of the steering wheel 102 that is detected via the steering wheel angle sensor 106 .
  • the park-assist controller 124 of the vehicle 100 suppresses identification of the potential spot 606 in response to determining, via the steering wheel angle sensor 106 and/or the range-detection sensors, that the vehicle 100 is turning away from the potential spot 606 .
  • the park-assist controller 124 of the vehicle 100 determines whether to suppress identification of a potential perpendicular parking spot (e.g., the potential spot 606 ) based on the steering wheel angle sensor 106 upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116 ) that the vehicle 100 is approaching a bend in a road (e.g., the bend 602 in the road 600 ). Additionally or alternatively, the park-assist controller 124 determines whether to suppress identification of a potential perpendicular parking spot based on the steering wheel angle sensor 106 upon detecting other characteristics of the surrounding area. For example, the park-assist controller 124 determines whether to suppress identification of a potential perpendicular parking spot based on the steering wheel angle sensor 106 upon detecting that the vehicle 100 is in a parking lot.
  • a potential perpendicular parking spot e.g., the potential spot 606
  • the park-assist controller 124 determines whether to suppress identification of a potential
  • FIGS. 7A-7B depict another example scenario for the park-assist system of the vehicle 100 . More specifically, FIG. 7A depicts when the park-assist controller 124 of the vehicle 100 has incorrectly identified a potential parking spot, and FIG. 7B depicts when the park-assist controller 124 of the vehicle 100 has correctly identified potential parking spots.
  • the vehicle 100 is travelling along a road 700 .
  • Parking spots 702 e.g., perpendicular parking spots
  • Other vehicles 704 are located in some of the parking spots 702 .
  • Others of the parking spots 702 are unoccupied.
  • a parking spot 702 a and a parking spot 702 b are unoccupied.
  • the parking spot 702 a and the parking spot 702 b are located next to each other between a vehicle 704 a and a vehicle 704 b.
  • the vehicle 100 is located near the parking spot 702 a and the parking spot 702 b that are unoccupied.
  • the park-assist controller 124 of the vehicle 100 is configured to identify a potential parking spot via the range-detection sensors (e.g., the proximity sensors 112 , the cameras 114 ) of the vehicle 100 .
  • the park-assist controller 124 identifies a potential parking spot 706 , via the range-detection sensors, based on a distance between the vehicle 704 a and the vehicle 704 b.
  • the park-assist controller 124 presents an interface to an operator (e.g., a driver) of the vehicle 100 that depicts the potential parking spot 706 .
  • the park-assist controller 124 presents an interface to the operator via the display 118 of the vehicle 100 .
  • the interface presented to the operator includes a representation of the potential parking spot 706 relative to the location of the vehicle 100 and/or other nearby objects such as the vehicles 704 a, 704 b.
  • the park-assist controller 124 of the vehicle 100 of the illustrated example is configured to receive a confirmation or a correction of the potential parking spot 706 from the operator.
  • the operator is to review the interface presented via the display 118 to determine whether the park-assist controller 124 has correctly identified a potential parking spot. That is, the operator reviews the interface presented via the display 118 to determine whether the potential parking spot 706 corresponds with one of the parking spot 702 .
  • the operator is to provide feedback to the park-assist controller 124 . That is, the park-assist controller 124 is configured to receive a confirmation and/or a correction of the potential parking spot 706 from the operator via the HMI unit 204 .
  • a correction identifies that a potential parking spot does not correspond with an actual parking spot.
  • the correction provided by the operator includes a repositioning and/or reorientation of a potential parking spot such that potential parking spot corresponds with an actual parking spot.
  • a touchscreen e.g., the display 118
  • the cabin microphone 216 of the HMI unit 204 is configured to receive an audio selection from the operator.
  • the park-assist controller 124 In response to receiving a correction from the operator of the vehicle 100 , the park-assist controller 124 is configured to determine whether the correction corresponds with another potential parking spot. For example, if the correction includes a repositioning and/or reorientation of the potential parking spot 706 , the park-assist controller 124 determines whether the adjustment of the potential parking spot 706 provided by the operator in the correction corresponds with another potential parking spot.
  • FIG. 7B illustrates the example park-assist scenario after the park-assist controller 124 has received the correction from the operator.
  • the park-assist controller 124 has identified a potential parking spot 708 and a potential parking spot 710 based on the correction provided by the operator.
  • the park-assist controller 124 presents an interface to the operator that depicts the potential parking spots 708 , 710 .
  • the park-assist controller 124 presents an interface to the operator via the display 118 of the vehicle 100 .
  • the interface presented to the operator includes a representation of the potential parking spots 708 , 710 relative to the location of the vehicle 100 and/or other nearby objects such as the vehicles 704 a, 704 b.
  • the park-assist controller 124 of the vehicle 100 is configured to receive a confirmation or a correction of the potential parking spot 708 and/or the potential parking spot 710 from the operator.
  • the potential parking spot 708 matches, aligns with, and/or otherwise corresponds with the parking spot 702 a. Further, the potential parking spot 710 matches, aligns with, and/or otherwise corresponds with the parking spot 702 b.
  • the park-assist controller 124 is configured to instruct the autonomy unit 122 to perform park-assist motive function(s) into one of the potential parking spots 708 , 710 that align with a respective one of the parking spots 702 a, 702 b. That is, the autonomy unit 122 is configured to perform park-assist into a potential parking spot responsive to the park-assist controller 124 receiving a confirmation from the operator.
  • the autonomy unit 122 is configured to perform park-assist into a potential parking spot responsive to the park-assist controller 124 determining that a correction received from the operator corresponds with another potential parking spot (e.g., the potential parking spot 708 , the potential parking spot 710 ).
  • another potential parking spot e.g., the potential parking spot 708 , the potential parking spot 710 .
  • the park-assist controller 124 is configured to store identification of potential parking spot(s) (e.g., the potential parking spot 706 , the potential parking spot 708 , the potential parking spot 710 ) and/or their corresponding classification (e.g., correct, incorrect) in parking map to facilitate identification of potential parking spot(s) in the future.
  • the park-assist controller 124 stores the parking map onboard the vehicle 100 in the memory 214 .
  • the park-assist controller 124 stores the information remotely (e.g., at the remote server 218 ).
  • the park-assist controller 124 transmits the parking map to the remote server 218 via the communication module 120 .
  • the park-assist controller 124 stores the parking map remotely to enable other vehicles to access the parking map to facilitate those vehicles in identifying potential parking spot(s) in the future.
  • FIG. 8 is a flowchart of an example method 800 to identify parking spots for vehicle park-assist.
  • the flowchart of FIG. 8 is representative of machine readable instructions that are stored in memory (such as the memory 214 of FIG. 2 ) and include one or more programs which, when executed by a processor (such as the processor 212 of FIG. 2 ), cause the vehicle 100 to implement the example park-assist controller 124 of FIGS. 1 and 2 .
  • a processor such as the processor 212 of FIG. 2
  • FIGS. 1 and 2 the example park-assist controller 124
  • the example program is described with reference to the flowchart illustrated in FIG. 8 , many other methods of implementing the example park-assist controller 124 may alternatively be used.
  • the order of execution of the blocks may be rearranged, changed, eliminated, and/or combined to perform the method 800 .
  • the method 800 is disclosed in connection with the components of FIGS. 1-2 , some functions of those components will not be described in detail below.
  • the park-assist controller 124 collects vehicle data of the vehicle 100 .
  • the park-assist controller 124 collects a speed (e.g., via the vehicle speed sensor 110 ), an acceleration (e.g., via the vehicle speed sensor 110 , the acceleration pedal sensor 108 ), a location (e.g., via the GPS receiver 116 ), a direction-of-travel (e.g., via the GPS receiver 116 ), a turn angle (e.g., via the steering wheel angle sensor 106 ), a driving pattern, etc. of the vehicle 100 .
  • the park-assist controller 124 collects data of a surrounding area of the vehicle 100 .
  • the park-assist controller 124 collects proximity data (e.g., via the range-detection sensors) of nearby object(s) and/or location-classification information (e.g., via the range-detection sensors, the remote server 218 ).
  • the location-classification information identifies (i) on which road the vehicle 100 is travelling, (ii) how many lanes the road includes, (iii) in which lane of the road the vehicle 100 is travelling, (iv) a width of the lane, (v) whether the road is bending, (vi) whether the vehicle 100 is in a construction zone, (vii) whether the vehicle 100 is in a parking lot, (viii) whether the vehicle 100 is in a settlement area, etc.
  • the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) along the left side of the vehicle 100 , for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) to the left of the vehicle 100 , the method 800 proceeds to block 810 .
  • the method 800 proceeds to block 808 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., parallel spots, perpendicular spots, angled spots) along the left side of the vehicle 100 (e.g., via the range-detection sensors).
  • potential parking spot(s) e.g., parallel spots, perpendicular spots, angled spots
  • the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) along the right side of the vehicle 100 , for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) to the right of the vehicle 100 , the method 800 proceeds to block 814 .
  • the method 800 proceeds to block 812 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., parallel spots, perpendicular spots, angled spots) along the right side of the vehicle 100 (e.g., via the range-detection sensors).
  • potential parking spot(s) e.g., parallel spots, perpendicular spots, angled spots
  • the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) in front of and/or behind the vehicle 100 , for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) in front of and/or behind the vehicle 100 , the method 800 proceeds to block 818 .
  • the method 800 proceeds to block 816 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., perpendicular spots, angled spots) in front of and/or behind the vehicle 100 (e.g., via the range-detection sensors).
  • potential parking spot(s) e.g., perpendicular spots, angled spots
  • the park-assist controller 124 determines whether it has identified any potential parking spot(s) at blocks 808 , 812 , 816 . In response to the park-assist controller 124 not identifying a potential parking spot, the method 800 returns to block 802 . Otherwise, in response to the park-assist controller identifying potential parking spot(s), the method 800 proceeds to block 820 .
  • the park-assist controller 124 presents a representation of one or more of the potential parking spot(s) to an operator via the display 118 of the vehicle 100 .
  • the HMI unit 204 of the vehicle 100 receives a selection from the operator of one of the potential parking spot(s). For example, the HMI unit 204 collects the selection from the operator as a tactile input (e.g., via a button, a dial, a touchscreen such as the display 118 , etc.) and/or an audio input (e.g., via the cabin microphone 216 , etc.).
  • the park-assist controller 124 determines whether the potential parking spot has been confirmed or corrected by the operator. For example, the HMI unit 204 receives a confirmation input from the operator upon the operator confirming that the potential parking spot, as represented via the display 118 , matches an actual parking spot viewed by the operator. The HMI unit 204 receives a correction input from the operator to inform the park-assist controller 124 that the potential parking spot, as represented via the display 118 , does not match an actual parking spot viewed by the operator. In some examples, the correction input includes a readjustment of the potential parking spot such that the potential parking spot, as represented via the display 118 , now matches an actual parking spot viewed by the operator.
  • the method 800 proceeds to block 826 at which the autonomy unit 122 performs park-assist motive functions to park the vehicle 100 in the identified parking spot. Otherwise, in response to the park-assist controller 124 determining that the potential parking has been corrected by the operator, the method 800 proceeds to block 828 at which the park-assist controller 124 determines whether it identifies another parking spot based on the correction. In response to the park-assist controller 124 not identifying another parking spot based on the correction, the method 800 returns to block 802 .
  • the method 800 proceeds to block 826 at which the autonomy unit 122 parks the vehicle 100 in the identified parking spot.
  • the park-assist controller stores information of the identified parking spot in a parking map (e.g., in the memory 214 onboard the vehicle 100 , in the remote server 218 , etc.).
  • the use of the disjunctive is intended to include the conjunctive.
  • the use of definite or indefinite articles is not intended to indicate cardinality.
  • a reference to “the” object or “a” and “an” object is intended to denote also one of a possible plurality of such objects.
  • the conjunction “or” may be used to convey features that are simultaneously present instead of mutually exclusive alternatives. In other words, the conjunction “or” should be understood to include “and/or”.
  • the terms “includes,” “including,” and “include” are inclusive and have the same scope as “comprises,” “comprising,” and “comprise” respectively.
  • the terms “module” and “unit” refer to hardware with circuitry to provide communication, control and/or monitoring capabilities. A “module” and a “unit” may also include firmware that executes on the circuitry.

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Abstract

Method and apparatus are disclosed for parking spot identification for vehicle park-assist. An example vehicle includes range-detection sensors, an acceleration sensor, an autonomy unit to perform park-assist, and a controller. The controller is configured to determine, via the acceleration sensor, whether the vehicle is accelerating. The controller also is to, responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors. The controller also is to, responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots.

Description

    TECHNICAL FIELD
  • The present disclosure generally relates to park-assist and, more specifically, to parking spot identification for vehicle park-assist.
  • BACKGROUND
  • Oftentimes, vehicles include autonomous or semi-autonomous driving systems that enable the vehicles to be driven with reduced driver input. Typically, a vehicle with an autonomous or semi-autonomous driving system includes sensors that collect information of a surrounding environment of the vehicle. In such instances, the autonomous or semi-autonomous driving system performs motive functions (e.g., steering, accelerating, braking, etc.) based on the collected information. Some driving systems utilize information collected from sensors to autonomously or semi-autonomously park a vehicle into an identified parking spot (e.g., a parallel parking spot, a perpendicular parking spot, an angled parking spot).
  • SUMMARY
  • The appended claims define this application. The present disclosure summarizes aspects of the embodiments and should not be used to limit the claims. Other implementations are contemplated in accordance with the techniques described herein, as will be apparent to one having ordinary skill in the art upon examination of the following drawings and detailed description, and these implementations are intended to be within the scope of this application.
  • Example embodiments are shown for parking spot identification for vehicle park-assist. An example disclosed vehicle includes range-detection sensors, an acceleration sensor, an autonomy unit to perform park-assist, and a controller. The controller is configured to determine, via the acceleration sensor, whether the vehicle is accelerating. The controller also is to, responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors. The controller also is to, responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots.
  • In some examples, the acceleration sensor includes a vehicle speed sensor. In some examples, the acceleration sensor includes an accelerator pedal position sensor.
  • Some examples further include a display to present a representation of a parking spot identified by the controller. In some such examples, the autonomy unit is to perform the park-assist to park the vehicle in the parking spot identified by the controller.
  • In some examples, the controller is to suppress the identification of the potential parking spots responsive to determining, via the range-detection sensors, that the vehicle is passing or being passed by another vehicle.
  • In some examples, when the vehicle is in one of a plurality of lanes designated for a same direction-of-travel, the controller is to suppress the identification of potential parallel parking spots along a side of the vehicle while detecting one or more of the plurality of lanes on the side of the vehicle.
  • Some examples further include a GPS receiver to identify a vehicle location. In such examples, the controller is to determine whether to suppress the identification of the potential parking spots based on the vehicle location. Some such examples further include a communication module to retrieve parking information for the vehicle location. In such examples, the controller is to determine whether to suppress the identification of the potential parking spots for the vehicle location based on the parking information.
  • In some examples, the controller is to suppress the identification of a potential perpendicular parking spot in front of the vehicle responsive to detecting that the vehicle is located on a road. In some such examples, the controller is to suppress the identification of the potential perpendicular parking spot for remote park-assist.
  • Some examples further include a steering angle sensor. In such examples, the controller is to suppress the identification of a potential perpendicular parking spot in front of the vehicle upon determining, via the steering angle sensor and the range-detection sensors, that the vehicle is turning away from the potential perpendicular parking spot. In some such examples, the controller is to suppress the identification of the potential perpendicular parking spot based on the steering wheel angle sensor in response to detecting that the vehicle is at least one of within a parking lot and approaching a bend in a road.
  • In some examples, the controller is to override suppressing the identification of the potential parking spots responsive to determining that a current driving pattern of the vehicle corresponds with a parking lot.
  • An example disclosed method includes determining whether a vehicle is accelerating via an acceleration sensor. The example disclosed method also includes identifying, via a processor and range-detection sensors, potential parking spots for a park-assist system of the vehicle responsive to determining that the vehicle is not accelerating. The examples disclosed method also includes suppressing, via the processor, identification of the potential parking spots responsive to detecting that the vehicle is accelerating.
  • An example disclosed vehicle includes range-detection sensors, a human-machine interface (HMI) unit including a display, and a controller. The controller is configured to identify a potential parking spot via the range- detection sensors. The controller also is configured to present, via the display, an interface depicting the potential parking spot and receive, via the HMI unit, a confirmation or a correction from an operator. The example disclosed vehicle also includes an autonomy unit to perform park-assist into the potential parking spot responsive to the controller receiving the confirmation.
  • In some examples, responsive to receiving the correction, the controller is to determine whether the correction corresponds with another potential parking spot. In some such examples, responsive to the controller determining that the correction corresponds with the other potential parking spot, the autonomy unit is to perform the park-assist into the other potential parking spot. Further, in some such examples, the controller is to store identification of the potential parking spot or the other potential parking spot in a parking map. Moreover, some such examples further include a communication module that is configured to transmit the parking map to a remote server.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • For a better understanding of the invention, reference may be made to embodiments shown in the following drawings. The components in the drawings are not necessarily to scale and related elements may be omitted, or in some instances proportions may have been exaggerated, so as to emphasize and clearly illustrate the novel features described herein. In addition, system components can be variously arranged, as known in the art. Further, in the drawings, like reference numerals designate corresponding parts throughout the several views.
  • FIG. 1 illustrates an example vehicle in accordance with the teachings herein.
  • FIG. 2 is a block diagram of electronic components of the vehicle of FIG. 1.
  • FIG. 3 depicts an example scenario for a park-assist system of the vehicle of FIG. 1.
  • FIG. 4 depicts another example scenario for a park-assist system of the vehicle of FIG. 1.
  • FIG. 5 depicts another example scenario for a park-assist system of the vehicle of FIG. 1.
  • FIG. 6 depicts another example scenario for a park-assist system of the vehicle of FIG. 1.
  • FIGS. 7A-7B depict another example scenario for a park-assist system of the vehicle of FIG. 1.
  • FIG. 8 is a flowchart for identifying parking spots for vehicle park-assist in accordance with the teachings herein.
  • DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
  • While the invention may be embodied in various forms, there are shown in the drawings, and will hereinafter be described, some exemplary and non-limiting embodiments, with the understanding that the present disclosure is to be considered an exemplification of the invention and is not intended to limit the invention to the specific embodiments illustrated.
  • Oftentimes, vehicles include autonomous or semi-autonomous driving systems that enable the vehicles to be driven with reduced driver input. Typically, a vehicle with an autonomous or semi-autonomous driving system includes sensors that collect information of a surrounding environment of the vehicle. In such instances, the autonomous or semi-autonomous driving system performs motive functions (e.g., steering, accelerating, braking, etc.) based on the collected information. Some driving systems utilize information collected from sensors to autonomously or semi-autonomously park a vehicle into an identified parking spot (e.g., a parallel parking spot, a perpendicular parking spot, an angled parking spot).
  • Some autonomous parking systems of vehicles identify parking spots without prompting by operators (e.g., drivers) of the vehicles. In some such instances, an autonomous parking system potentially may identify an available parking spot where no parking spot is, in fact, present. In other words, some autonomous parking systems potentially may identify false positives for parking spots. For instance, some false positives potentially may be a result of vehicle sensors (e.g., ultrasonic sensors, radar sensors, lidar sensors, cameras) detecting a constant gap over time between two or more moving objects. Additionally or alternatively, an autonomous parking system potentially may fail to identify an available parking spot where a parking spot is, in fact, present. In other words, some autonomous parking systems potentially may identify false negatives for parking spots.
  • Example methods and apparatus disclosed herein include a vehicle park-assist system that deters false negatives and false positives when identifying potential available parking spots. Examples disclosed herein include a park-assist system that determines whether to search for available parking spots based on characteristics of a vehicle and/or characteristics of a surrounding environment of the vehicle. If the characteristics correspond with a parking event of the vehicle, the park-assist system enables identification of the potential available parking spots. If the characteristics do not correspond with a parking event of the vehicle, the park-assist system suppresses identification of the potential available parking spots to prevent false positives from being identified. In some examples, the park-assist system simultaneously (1) enables identification of the potential available parking spots in one direction (e.g., to the left) of the vehicle and (2) suppresses identification of the potential available parking spots in another direction (e.g., to the right) of the vehicle. Also, examples disclosed herein include an interface that enables an operator (e.g., a driver) of the vehicle to correct a parking spot identified by a park-assist system, thereby reducing the number of false negatives and false positives for available parking spots.
  • As used herein, “vehicle park-assist” and “park-assist” refer to a system in which a vehicle controls its motive functions without direct steering or velocity input from a driver to autonomously park within a parking spot. As used herein, “vehicle remote park-assist,” “remote park-assist,” “RePA,” and “remote parking” refer to a system in which a vehicle controls its motive functions without direct steering or velocity input from a driver to autonomously park within a parking spot while the driver is located outside of the vehicle. For example, an autonomy unit of a remote park-assist system controls the motive functions of the vehicle upon receiving a remote initiation signal from a driver.
  • Turning to the figures, FIG. 1 illustrates an example vehicle 100 in accordance with the teachings herein. The vehicle 100 may be a standard gasoline powered vehicle, a hybrid vehicle, an electric vehicle, a fuel cell vehicle, and/or any other mobility implement type of vehicle. The vehicle 100 includes parts related to mobility, such as a powertrain with an engine, a transmission, a suspension, a driveshaft, and/or wheels, etc. The vehicle 100 may be semi-autonomous (e.g., some routine motive functions controlled by the vehicle 100) or autonomous (e.g., motive functions are controlled by the vehicle 100 without direct driver input).
  • In the illustrated example, the vehicle 100 includes a steering wheel 102 and an acceleration pedal 104. The steering wheel 102 enables an operator (e.g., a driver) to steer the vehicle 100 for non-autonomous and/or semi-autonomous motive functions. Further, the acceleration pedal 104 enables the vehicle 100 to accelerate the vehicle 100 for non-autonomous and/or semi-autonomous motive functions.
  • Further, the vehicle 100 of the illustrated example includes a steering wheel angle sensor 106, an acceleration pedal sensor 108, and a vehicle speed sensor 110. The steering wheel angle sensor 106 is configured to detect an angle of the steering wheel 102. For example, the steering wheel angle sensor 106 monitors the steering wheel 102 to detect whether, in which direction, and/or to what degree the operator is turning the steering wheel 102. The acceleration pedal sensor 108 is configured to detect a position and/or angle of the acceleration pedal 104. For example, the acceleration pedal sensor 108 monitors the acceleration pedal 104 to detect (i) whether the operator is engaging the acceleration pedal 104, (ii) to what degree the operator has actuated the acceleration pedal 104, and/or an (iii) acceleration of the vehicle 100 that corresponds with actuation of the acceleration pedal 104. Further, the vehicle speed sensor 110 detects a speed at which the vehicle 100 is travelling along a surface. In some examples, the vehicle speed sensor 110 is configured to detect an acceleration of the vehicle 100 by monitoring a speed of the vehicle 100 over a period of time. That is, the vehicle 100 includes one or more acceleration sensors, such as the acceleration pedal sensor 108 and/or the vehicle speed sensor 110, that are configured to monitor an acceleration of the vehicle 100.
  • In the illustrated example, the vehicle 100 also includes range-detection sensors. For example, the range-detection sensors enable the vehicle 100 to perform autonomous and/or semi-autonomous driving maneuvers. As used herein, a “range-detection sensor” refers to an electronic device that is configured to collect information to detect a presence of and distance to nearby object(s). In the illustrated example, the range-detection sensors of the vehicle 100 include proximity sensors 112 and cameras 114. The proximity sensors 112 are configured to detect the presence, proximity, and/or location of object(s) near the vehicle 100. For example, the proximity sensors 112 include radar sensor(s), lidar sensor(s), ultrasonic sensor(s), and/or any other sensor configured to detect the presence, proximity, and/or location of nearby object(s). A radar sensor detects and locates an object via radio waves, a lidar sensor detects and locates the object via lasers, and an ultrasonic sensor detects and locates the object via ultrasound waves. Further, the cameras 114 capture image(s) and/or video of a surrounding area of the vehicle 100 to enable nearby object(s) to be identified and located. In the illustrated example, the range-detection sensors (e.g., the proximity sensors 112, the cameras 114) are located on each side of the vehicle 100 (e.g., front, rear, left, right) to enable the range-detection sensors in monitoring each portion of the surrounding area of the vehicle 100. In some examples, the measurements collected by the range-detection sensors over time are utilized to determine a velocity and/or an acceleration of the vehicle 100.
  • Further, the vehicle 100 of FIG. 1 includes a global positioning system (GPS) receiver 116 and a display 118. The GPS receiver 116 is configured to receive a signal from a global positioning system to identify a location of the vehicle 100. The display 118 is configured to present interface(s) and/or other output information to an occupant of the vehicle 100. For example, the display 118 is a center console display (e.g., a liquid crystal display (LCD), an organic light emitting diode (OLED) display, a flat panel display, a solid state display, etc.) and/or a heads-up display. In some examples, the display 118 is a touchscreen that is configured to collect input information from an occupant.
  • The vehicle 100 of the illustrated example also includes a communication module 120 that includes wired or wireless network interfaces to enable communication with other devices and/or external networks. The communication module 120 also includes hardware (e.g., processors, memory, storage, antenna, etc.) and software to control the wired or wireless network interfaces. For example, the communication module 120 includes one or more communication controllers for cellular networks, such as Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), Long Term Evolution (LTE), Code Division Multiple Access (CDMA). In the illustrated example, the communication module 120 includes a wireless personal area network (WPAN) module that is configured to wirelessly communicate with a mobile device (e.g., a key fob, a smart phone, a wearable, a smart watch, a tablet, etc.) of an operator and/or other occupant of the vehicle 100 via short-range wireless communication protocol(s). In some examples, the communication module 120 implements the Bluetooth® and/or Bluetooth® Low Energy (BLE) protocols. The Bluetooth® and BLE protocols are set forth in Volume 6 of the Bluetooth® Specification 4.0 (and subsequent revisions) maintained by the Bluetooth® Special Interest Group. Additionally or alternatively, the communication module 120 is configured to wirelessly communicate via Wi-Fi®, Near Field Communication (NFC), ultra-wide band (UWB) communication, ultra-high frequency (UHF) communication, low frequency (LF) communication, and/or any other communication protocol that enables the communication module 120 to communicatively couple to a mobile device.
  • In the illustrated example, the vehicle 100 includes an autonomy unit 122. For example, the autonomy unit 122 is an electronic control unit (e.g., one of a plurality of electronic control units 208 of FIG. 2). The autonomy unit 122 is configured to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 based upon, at least in part, data collected by the proximity sensors 112, the cameras 114, and/or other range-detection sensors of the vehicle 100. For example, the autonomy unit 122 performs autonomous and/or semi-autonomous driving maneuvers of the vehicle 100 for park-assist.
  • The vehicle 100 of FIG. 1 also includes a park-assist controller 124 that is configured to control operation of a park-assist system of the vehicle 100. For example, the park-assist controller 124 is configured to collect vehicle data of the vehicle 100. In some examples, the vehicle data includes a speed (e.g., collected via the vehicle speed sensor 110), an acceleration (e.g., collected via an acceleration sensor), a location (e.g., collected via the GPS receiver 116), a direction-of-travel (e.g., determined via the GPS receiver 116), a turn angle (e.g., collected via the steering wheel angle sensor 106), a driving pattern, etc. Further, the park-assist controller 124 is configured to collect data of a surrounding environment of the vehicle 100. In some examples, the environment data include proximity data (e.g., collected via the range-detection sensors) of nearby object(s) and/or location-classification information (e.g., collected via the range-detection sensors, a remote server, etc.). In some examples, the location-classification information identifies (i) a road along which the vehicle 100 is travelling, (ii) how many lanes the road includes, (iii) in which lane of the road the vehicle 100 is travelling, (iv) a width of the lane, (v) whether the road is bending (vi) whether the vehicle 100 is in a construction zone, (vii) whether the vehicle 100 is in a parking lot, (viii) whether the vehicle 100 is in a settlement area, etc.
  • Based on the collected vehicle data and/or data of the surrounding area, the park-assist controller 124 is configured to determine whether to suppress identification of potential parking spot(s). If the park-assist controller 124 determines to suppress identification of potential parking spot(s), the vehicle 100 does not monitor for potential parking spot(s) and/or present potential parking spot(s) to the operator. If the park-assist controller 124 determines to not suppress identification of potential parking spot(s), the vehicle 100 monitors for potential parking spot(s) based on data collected by the range-detection sensors. For example, if the park-assist controller 124 identifies a potential parking spot, the park-assist controller 124 presents, via the display 118, a representation of the potential parking spot. That is, the display 118 presents an interface depicting the potential parking spot to the operator. Additionally or alternatively, the park-assist controller 124 is configured to instruct the autonomy unit 122 to perform the park-assist motive functions to autonomously and/or semi-autonomously park the vehicle 100 in the parking spot identified by the park-assist controller 124.
  • FIG. 2 is a block diagram of electronic components 200 of the vehicle 100. As illustrated in FIG. 2, the electronic components 200 include an on-board computing platform 202, a human-machine interface (HMI) unit 204, the communication module 120, the GPS receiver 116, sensors 206, electronic control units (ECUs) 208, and a vehicle data bus 210.
  • The on-board computing platform 202 includes a processor 212 (also referred to as a microcontroller unit and a controller) and memory 214. In the illustrated example, the processor 212 of the on-board computing platform 202 is structured to include the park-assist controller 124. In other examples, the park-assist controller 124 is incorporated into one of the ECUs 208 with its own processor and memory. The processor 212 may be any suitable processing device or set of processing devices such as, but not limited to, a microprocessor, a microcontroller-based platform, an integrated circuit, one or more field programmable gate arrays (FPGAs), and/or one or more application-specific integrated circuits (ASICs). The memory 214 may be volatile memory (e.g., RAM including non-volatile RAM, magnetic RAM, ferroelectric RAM, etc.), non-volatile memory (e.g., disk memory, FLASH memory, EPROMs, EEPROMs, memristor-based non-volatile solid-state memory, etc.), unalterable memory (e.g., EPROMs), read-only memory, and/or high-capacity storage devices (e.g., hard drives, solid state drives, etc.). In some examples, the memory 214 includes multiple kinds of memory, particularly volatile memory and non-volatile memory.
  • The memory 214 is computer readable media on which one or more sets of instructions, such as the software for operating the methods of the present disclosure, can be embedded. The instructions may embody one or more of the methods or logic as described herein. For example, the instructions reside completely, or at least partially, within any one or more of the memory 214, the computer readable medium, and/or within the processor 212 during execution of the instructions.
  • The terms “non-transitory computer-readable medium” and “computer-readable medium” include a single medium or multiple media, such as a centralized or distributed database, and/or associated caches and servers that store one or more sets of instructions. Further, the terms “non-transitory computer-readable medium” and “computer-readable medium” include any tangible medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor or that cause a system to perform any one or more of the methods or operations disclosed herein. As used herein, the term “computer readable medium” is expressly defined to include any type of computer readable storage device and/or storage disk and to exclude propagating signals.
  • The HMI unit 204 provides an interface between the vehicle 100 and a user. The HMI unit 204 includes digital and/or analog interfaces (e.g., input devices and output devices) to receive input from and display information for the user(s). The input devices include, for example, a cabin microphone 216, other audio input device(s), a control knob, an instrument panel, a digital camera for image capture and/or visual command recognition, a touchscreen (e.g. the display 118), button(s), a touchpad, etc.. The output devices may include the display 118, instrument cluster outputs (e.g., dials, lighting devices), actuators, speakers, etc. In the illustrated example, the HMI unit 204 includes hardware (e.g., a processor or controller, memory, storage, etc.) and software (e.g., an operating system, etc.) for an infotainment system (such as SYNC® and MyFord Touch® by Ford®). Additionally, the HMI unit 204 displays the infotainment system on, for example, the display 118.
  • The communication module 120 of the illustrated example is configured to communicate with a remote server 218 of an external network 220. For example, the external network 220 is a public network, such as the Internet; a private network, such as an intranet; or combinations thereof. Further, in some examples, the external network 220 utilizes a variety of networking protocols now available or later developed including, but not limited to, TCP/IP-based networking protocols.
  • The sensors 206 are arranged in and/or around the vehicle 100 to monitor properties of the vehicle 100 and/or an environment in which the vehicle 100 is located. One or more of the sensors 206 may be mounted to measure properties around an exterior of the vehicle 100. Additionally or alternatively, one or more of the sensors 206 may be mounted inside a cabin of the vehicle 100 or in a body of the vehicle 100 (e.g., an engine compartment, wheel wells, etc.) to measure properties in an interior of the vehicle 100. For example, the sensors 206 include accelerometers, odometers, tachometers, pitch and yaw sensors, wheel speed sensors, tire pressure sensors, biometric sensors and/or sensors of any other suitable type. In the illustrated example, the sensors 206 include the acceleration pedal sensor 108, the steering wheel angle sensor 106, the vehicle speed sensor 110, the proximity sensors 112, and the cameras 114.
  • The ECUs 208 monitor and control the subsystems of the vehicle 100. For example, the ECUs 208 are discrete sets of electronics that include their own circuit(s) (e.g., integrated circuits, microprocessors, memory, storage, etc.) and firmware, sensors, actuators, and/or mounting hardware. The ECUs 208 communicate and exchange information via a vehicle data bus (e.g., the vehicle data bus 210). Additionally, the ECUs 208 may communicate properties (e.g., status of the ECUs 208, sensor readings, control state, error and diagnostic codes, etc.) to and/or receive requests from each other. For example, the vehicle 100 may have dozens of the ECUs 208 that are positioned in various locations around the vehicle 100 and are communicatively coupled by the vehicle data bus 210.
  • In the illustrated example, the ECUs 208 include the autonomy unit 122, a speed control unit 222, a camera module 224, and a steering angle sensor module 226. For example, the autonomy unit 122 is configured to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100. The speed control unit 222 is configured to monitor and/or control a speed at which the vehicle 100 travels. The camera module 224 controls one or more cameras 114 to collect image(s) and/or video, for example, that are presented to occupant(s) of the vehicle 100 via the display 118 and/or analyzed to control performance of autonomous and/or semi-autonomous driving maneuvers of the vehicle 100. Further, the steering angle sensor module 226 includes and/or is communicatively coupled to the steering wheel angle sensor 106 to monitor a steering angle of the steering wheel 102.
  • The vehicle data bus 210 communicatively couples the GPS receiver 116, the communication module 120, the on-board computing platform 202, the HMI unit 204, the sensors 206, and the ECUs 208. In some examples, the vehicle data bus 210 includes one or more data buses. The vehicle data bus 210 may be implemented in accordance with a controller area network (CAN) bus protocol as defined by International Standards Organization (ISO) 11898-1, a Media Oriented Systems Transport (MOST) bus protocol, a CAN flexible data (CAN-FD) bus protocol (ISO 11898-7) and/a K-line bus protocol (ISO 9141 and ISO 14230-1), and/or an Ethernet™ bus protocol IEEE 802.3 (2002 onwards), etc.
  • FIG. 3 depicts an example scenario for a park-assist system of the vehicle 100. In the illustrated example, the vehicle 100 is travelling along a road 300. The road 300 is a multi-lane road that includes a plurality of lanes designated for a same direction-of-travel. For example, the road 300 includes a lane 302 (e.g., an outer lane), a lane 304 (e.g., an inner lane), and a lane 306 (e.g., an outer lane) that are each designated for the same direction-of-travel. As illustrated in FIG. 3, the road 300 includes (1) outer lines 308 (e.g., solid lines) that define the outer limits of the road and (2) inner lines 310 (e.g., dashed lines) that separate the lanes 302, 304, 306 from each other.
  • In FIG. 3, the vehicle 100 is approaching a sign 312 located along the side of the road 300. For example, the sign 312 identifies that the vehicle 100 is within and/or is approaching a construction zone. Further, the vehicle 100 is proximate to a plurality of other vehicles 314 positioned on and/or along the road 300. For example, a vehicle 314 a, a vehicle 314 b, and a vehicle 316 c are parked (e.g., parallel parked) along a side of the road 300 adjacent to the vehicle 100. The vehicle 100 is travelling within the lane 302 of the road 300. A vehicle 314 d, a vehicle 314 e, and a vehicle 314 f are travelling within the lane 304 adjacent to the vehicle 100. Further, the vehicle 314 g is travelling within the lane 306 of the road 300.
  • The park-assist controller 124 of the vehicle 100 determines whether to suppress identification of potential parking spot(s) based on collected vehicle data and/or environmental data. In the illustrated example, the park-assist controller 124 of the vehicle 100 determines whether to suppress identification of a potential spot 316 (e.g., a potential parallel spot to the left of the vehicle 100), a potential spot 318 (e.g., a potential perpendicular spot in front of the vehicle 100), and/or a potential spot 320 (e.g., a potential perpendicular spot to the right of the vehicle 100).
  • In the illustrated example, the park-assist controller 124 is configured to determine whether to suppress identification of potential parking spot(s) based on an acceleration of the vehicle 100. For example, the park-assist controller 124 determines whether the vehicle 100 is accelerating via an acceleration sensor, such as the acceleration pedal sensor 108, the vehicle speed sensor 110, the proximity sensors 112, and/or the cameras 114. In response to the park-assist controller 124 determining that the vehicle 100 is accelerating, the park-assist controller 124 suppresses identification of potential parking spot(s) near the vehicle 100. In some examples, in response to the park-assist controller 124 determining that the vehicle 100 is not accelerating (e.g., is decelerating or is travelling at a constant speed), the park-assist controller 124 enables identification potential parking spot(s) (e.g., the potential spot 316). For example, the park-assist controller 124 enables identification of potential parking spot(s) 100 via the range-detection sensors (e.g., the proximity sensors 112, the cameras 114) of the vehicle 100.
  • Further, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on an acceleration of the vehicle 100 relative to one or more of the other vehicles 314 that are travelling on the road 300 with the vehicle 100. In the illustrated example, the park-assist controller 124 suppresses identification of potential parking spot(s) near the vehicle 100 in response to detecting that the vehicle 100 is passing or being passed by one or more of the other vehicles 314 on the road 300. For example, the park-assist controller 124 determines, via the range-detection sensors, whether the vehicle 100 is passing and/or is being passed by one or more of the other vehicles 314 on the road 300. In some examples, in response to detecting that the that the vehicle 100 is passing or being passed by one or more of the other vehicles 314 on the road 300, the park-assist controller 124 enables identification of potential parking spot(s) via the range-detection sensors.
  • In some examples, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a vehicle location. For example, the park-assist controller 124 suppresses identification of potential parking spot(s) when the vehicle 100 is at a location at which no parking spots are available. The park-assist controller 124 is configured to suppress identification of potential parking spot(s) upon determining that the vehicle 100 is in a construction zone, a settlement area, and/or any other location at which parking spots are unavailable. In some examples, the park-assist controller 124 determines that the vehicle 100 is in an area in which parking spots are unavailable based on the range-detection sensors. For example, the park-assist controller 124 utilizes image-recognition software to detect that the vehicle 100 is within and/or approaching a construction zone based on image(s) and/or video of the sign 312 that are captured by one or more of the cameras 114. Further, in some examples, the park-assist controller 124 is configured to determine the vehicle 100 is in an area in which parking spots are unavailable based on parking information for the location of the vehicle 100. For example, the park-assist controller 124 is configured to (1) identify the vehicle location via the GPS receiver 116 and (2) retrieve parking information for the vehicle location from a remote server (e.g., the remote server 218) via the communication module 120.
  • Further, the park-assist controller 124 of the vehicle 100 of the illustrated example is configured to override suppression of the identification of the potential parking spots based on a vehicle location. For example, the park-assist controller 124 overrides suppressing the identification of the potential parking spots in response to determining that the current vehicle location corresponds with a parking lot (e.g., a permanent parking lot such as a parking structure, a temporary parking lot such as a field). In some examples, the park-assist controller 124 is configured to determine that the vehicle 100 is located in a parking lot based on information collected via the range-detection sensors and/or the GPS receiver 116. Further, the park-assist controller 124 is configured to determine that the vehicle 100 is located in a parking lot by monitoring a current driving pattern of the vehicle 100. For example, the park-assist controller 124 determines that the vehicle 100 is in a parking lot upon detecting a series of driving maneuvers (e.g., quick turns, short forward motions) associated with a vehicle driving through a parking lot.
  • Additionally or alternatively, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 within the road 300. For example, the park-assist controller 124 is configured to suppress identification of a potential parking spot in front of the vehicle 100, such as the potential spot 318, in response to detecting that the vehicle 100 is travelling in a lane (e.g., the lane 302) of the road 300. When the vehicle 100 is travelling in one of a plurality of lanes of a road designated for a same direction-of-travel, the park-assist controller 124 suppresses identification of parallel parking spots along a side of the vehicle 100 while detecting (e.g., via the range-detection sensors) that one or more other lanes of the road is on that side of the vehicle 100. For example, when the vehicle 100 is travelling in the lane 302 of the road 300, the park-assist controller 124 suppresses identification of parallel parking spots to the right of the vehicle 100 such as the potential spot 320. In some examples, park-assist controller 124 enables identification of parallel parking spots along a side of the vehicle 100 while detecting (e.g., via the range-detection sensors) that no other lane of the road is on that side of the vehicle 100. For example, when the vehicle 100 is travelling in the lane 302 of the road 300, the park-assist controller 124 enables identification of parallel parking spots to the left of the vehicle 100 such as the potential spot 316. That is, in some examples, the park-assist controller 124 enables identification of potential parking spots in some direction(s) (e.g., to the left) and suppresses identification of potential parking spots in other direction(s) (e.g., to the right, in the front).
  • Further, in some examples, the park-assist controller 124 (1) suppresses identification of potential parking spot(s) when one or more of a plurality of conditions is not met and (2) enables identification of potential parking spot(s) when each of the plurality of conditions is met. For example, the park-assist controller 124 is configured to suppress identification when the vehicle 100 is (1) accelerating, (2) passing another vehicle, (3) being passed by another vehicle, (4) in a construction zone, (5) in a settlement area, and/or (6) in a middle lane. In such examples the park-assist controller 124 is configured to enable identification when the vehicle 100 is not (1) accelerating, (2) passing another vehicle, (3) being passed by another vehicle, (4) in a construction zone, (5) in a settlement area, and (6) in a middle lane.
  • FIG. 4 depicts another example scenario for the park-assist system of the vehicle 100. In the illustrated example, the vehicle 100 is travelling along a road 400. As illustrated in FIG. 4, the road 400 is a single-lane road that includes lines 402 (e.g., solid lines) to define the outer limits of the road 400. Further, in the illustrated example, the vehicle 100 is proximate to a plurality of other vehicles 404 parked along sides of the road 400. For example, a vehicle 404 a is parked along a left side of the road 400, and a vehicle 404 b and a vehicle 404 c are parked along a right side of the road 400.
  • In the illustrated example, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 relative to the road 400. For example, upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116) that the vehicle 100 is located on the road 400, the park-assist controller suppresses identification of a potential spot 406 in front of the vehicle 100. That is, the park-assist controller 124 is configured to suppress identification of potential parking spot(s) that are located on the road 400. Additionally or alternatively, to prevent identification of potential parking spot(s) located on the road 400, the park-assist controller 124 is configured to suppress identification of potential perpendicular parking spot(s) (e.g., the potential spot 406) for remote park-assist that is in front of the vehicle 100 and/or when the vehicle 100 is located in the road. Further, in the illustrated example, the park-assist controller 124 enables identification of a potential spot 408 that is located along a side of the road 400 (e.g., to the left of the vehicle 100).
  • FIG. 5 depicts another example scenario for the park-assist system of the vehicle 100. In the illustrated example, the vehicle 100 is travelling along a road 500. The road 500 is a multi-lane road that includes a plurality of lanes designated for a same direction-of-travel. For example, the road 500 includes a lane 502 (e.g., an outer lane), a lane 504 (e.g., an inner lane), and a lane 506 (e.g., an outer lane) that are each designated for the same direction-of-travel. As illustrated in FIG. 5, the road 500 is approaching an intersection with a traffic light 508. Further, the vehicle 100 is proximate to a plurality of other vehicles 510 positioned on the road 500. For example, a vehicle 510 a and a vehicle 510 b are located within the lane 502, a vehicle 510 c is located within the lane 504, and a vehicle 510 d and a vehicle 510 e are located within the lane 506. The other vehicles 510 are stopped at the intersection based on a status of the traffic light 508 (e.g., a red light is illuminated). The vehicle 100 is approaching the other vehicles 510 that are in the road 500 and stopped at the intersection.
  • In the illustrated example, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of potential parking spot(s) based on a location of the vehicle 100 relative to the road 500 and/or the other vehicles 510. For example, upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116) that the vehicle 100 is located in the lane 504 of the road 500, the park-assist controller suppresses identification of a potential spot 512 that is in front of the vehicle 100 and between the other vehicles 510. That is, the park-assist controller 124 is configured to suppress identification of potential parking spot(s) located on the road 500.
  • FIG. 6 depicts another example scenario for the park-assist system of the vehicle 100. In the illustrated example, the vehicle 100 is travelling along a road 600. Further, the vehicle 100 is approaching a turn or bend 602 in the road 600. Objects 604 (e.g., trees, bushes, rocks, road barriers, signs, support posts, etc.) are located to a side of the bend 602 of the road 600 such that the objects 604 are in front of the vehicle 100 as the vehicle 100 approaches the bend. In the illustrated example, an object 604 a and an object 604 b are positioned such that there is a gap between the object 604 a and the object 604 b that corresponds with a size of a potential spot 606 (e.g., a potential perpendicular parking spot). Further, the object 604 a and the object 604 b are located relative to the bend 602 in the road 600 such that the potential spot 606 is in front of the vehicle 100 as the vehicle 100 approaches the bend 602.
  • The park-assist controller 124 of the vehicle 100 of the illustrated example is configured to determine whether to suppress identification of a potential perpendicular parking spot (e.g., the potential spot 606) in front of the vehicle 100 based on a steering path of the vehicle 100. For example, the park-assist controller 124 of the vehicle 100 is configured to determine whether to suppress identification of a potential perpendicular parking spot in front of the vehicle 100 based on an angle of the steering wheel 102 that is detected via the steering wheel angle sensor 106. In the illustrated example, the park-assist controller 124 of the vehicle 100 suppresses identification of the potential spot 606 in response to determining, via the steering wheel angle sensor 106 and/or the range-detection sensors, that the vehicle 100 is turning away from the potential spot 606.
  • In the illustrated example, the park-assist controller 124 of the vehicle 100 determines whether to suppress identification of a potential perpendicular parking spot (e.g., the potential spot 606) based on the steering wheel angle sensor 106 upon detecting (e.g., via the range-detection sensors and/or the GPS receiver 116) that the vehicle 100 is approaching a bend in a road (e.g., the bend 602 in the road 600). Additionally or alternatively, the park-assist controller 124 determines whether to suppress identification of a potential perpendicular parking spot based on the steering wheel angle sensor 106 upon detecting other characteristics of the surrounding area. For example, the park-assist controller 124 determines whether to suppress identification of a potential perpendicular parking spot based on the steering wheel angle sensor 106 upon detecting that the vehicle 100 is in a parking lot.
  • FIGS. 7A-7B depict another example scenario for the park-assist system of the vehicle 100. More specifically, FIG. 7A depicts when the park-assist controller 124 of the vehicle 100 has incorrectly identified a potential parking spot, and FIG. 7B depicts when the park-assist controller 124 of the vehicle 100 has correctly identified potential parking spots.
  • In the illustrated example, the vehicle 100 is travelling along a road 700. Parking spots 702 (e.g., perpendicular parking spots) are located along a side of the road 700. Other vehicles 704 are located in some of the parking spots 702. Others of the parking spots 702 are unoccupied. For example, a parking spot 702 a and a parking spot 702 b are unoccupied. Further, the parking spot 702 a and the parking spot 702 b are located next to each other between a vehicle 704 a and a vehicle 704 b. As illustrated in FIGS. 7A-7B, the vehicle 100 is located near the parking spot 702 a and the parking spot 702 b that are unoccupied.
  • In operation, the park-assist controller 124 of the vehicle 100 is configured to identify a potential parking spot via the range-detection sensors (e.g., the proximity sensors 112, the cameras 114) of the vehicle 100. For example, in FIG. 7A, the park-assist controller 124 identifies a potential parking spot 706, via the range-detection sensors, based on a distance between the vehicle 704 a and the vehicle 704 b. Further, the park-assist controller 124 presents an interface to an operator (e.g., a driver) of the vehicle 100 that depicts the potential parking spot 706. For example, the park-assist controller 124 presents an interface to the operator via the display 118 of the vehicle 100. The interface presented to the operator includes a representation of the potential parking spot 706 relative to the location of the vehicle 100 and/or other nearby objects such as the vehicles 704 a, 704 b.
  • Further, the park-assist controller 124 of the vehicle 100 of the illustrated example is configured to receive a confirmation or a correction of the potential parking spot 706 from the operator. For example, the operator is to review the interface presented via the display 118 to determine whether the park-assist controller 124 has correctly identified a potential parking spot. That is, the operator reviews the interface presented via the display 118 to determine whether the potential parking spot 706 corresponds with one of the parking spot 702. After determining whether the potential parking spot 706 is correct or incorrect, the operator is to provide feedback to the park-assist controller 124. That is, the park-assist controller 124 is configured to receive a confirmation and/or a correction of the potential parking spot 706 from the operator via the HMI unit 204. A correction identifies that a potential parking spot does not correspond with an actual parking spot. In some examples, the correction provided by the operator includes a repositioning and/or reorientation of a potential parking spot such that potential parking spot corresponds with an actual parking spot. Further, in some examples, a touchscreen (e.g., the display 118) of the HMI unit 204 is configured to receive a tactile selection from the operator and/or the cabin microphone 216 of the HMI unit 204 is configured to receive an audio selection from the operator.
  • In FIG. 7A, the potential parking spot 706 identified by the park-assist controller 124 is incorrect. In response to receiving a correction from the operator of the vehicle 100, the park-assist controller 124 is configured to determine whether the correction corresponds with another potential parking spot. For example, if the correction includes a repositioning and/or reorientation of the potential parking spot 706, the park-assist controller 124 determines whether the adjustment of the potential parking spot 706 provided by the operator in the correction corresponds with another potential parking spot.
  • FIG. 7B illustrates the example park-assist scenario after the park-assist controller 124 has received the correction from the operator. As illustrated in FIG. 7B, the park-assist controller 124 has identified a potential parking spot 708 and a potential parking spot 710 based on the correction provided by the operator. Upon identifying the potential parking spots 708, 710, the park-assist controller 124 presents an interface to the operator that depicts the potential parking spots 708, 710. For example, the park-assist controller 124 presents an interface to the operator via the display 118 of the vehicle 100. The interface presented to the operator includes a representation of the potential parking spots 708, 710 relative to the location of the vehicle 100 and/or other nearby objects such as the vehicles 704 a, 704 b. Further, the park-assist controller 124 of the vehicle 100 is configured to receive a confirmation or a correction of the potential parking spot 708 and/or the potential parking spot 710 from the operator.
  • In FIG. 7B, the potential parking spot 708 matches, aligns with, and/or otherwise corresponds with the parking spot 702 a. Further, the potential parking spot 710 matches, aligns with, and/or otherwise corresponds with the parking spot 702 b. Upon receiving a confirmation from the operator, the park-assist controller 124 is configured to instruct the autonomy unit 122 to perform park-assist motive function(s) into one of the potential parking spots 708, 710 that align with a respective one of the parking spots 702 a, 702 b. That is, the autonomy unit 122 is configured to perform park-assist into a potential parking spot responsive to the park-assist controller 124 receiving a confirmation from the operator. Additionally or alternatively, the autonomy unit 122 is configured to perform park-assist into a potential parking spot responsive to the park-assist controller 124 determining that a correction received from the operator corresponds with another potential parking spot (e.g., the potential parking spot 708, the potential parking spot 710).
  • In the illustrated example, the park-assist controller 124 is configured to store identification of potential parking spot(s) (e.g., the potential parking spot 706, the potential parking spot 708, the potential parking spot 710) and/or their corresponding classification (e.g., correct, incorrect) in parking map to facilitate identification of potential parking spot(s) in the future. In some examples, the park-assist controller 124 stores the parking map onboard the vehicle 100 in the memory 214. Additionally or alternatively, the park-assist controller 124 stores the information remotely (e.g., at the remote server 218). For example, the park-assist controller 124 transmits the parking map to the remote server 218 via the communication module 120. In some examples, the park-assist controller 124 stores the parking map remotely to enable other vehicles to access the parking map to facilitate those vehicles in identifying potential parking spot(s) in the future.
  • FIG. 8 is a flowchart of an example method 800 to identify parking spots for vehicle park-assist. The flowchart of FIG. 8 is representative of machine readable instructions that are stored in memory (such as the memory 214 of FIG. 2) and include one or more programs which, when executed by a processor (such as the processor 212 of FIG. 2), cause the vehicle 100 to implement the example park-assist controller 124 of FIGS. 1 and 2. While the example program is described with reference to the flowchart illustrated in FIG. 8, many other methods of implementing the example park-assist controller 124 may alternatively be used. For example, the order of execution of the blocks may be rearranged, changed, eliminated, and/or combined to perform the method 800. Further, because the method 800 is disclosed in connection with the components of FIGS. 1-2, some functions of those components will not be described in detail below.
  • Initially, at block 802, the park-assist controller 124 collects vehicle data of the vehicle 100. For example, the park-assist controller 124 collects a speed (e.g., via the vehicle speed sensor 110), an acceleration (e.g., via the vehicle speed sensor 110, the acceleration pedal sensor 108), a location (e.g., via the GPS receiver 116), a direction-of-travel (e.g., via the GPS receiver 116), a turn angle (e.g., via the steering wheel angle sensor 106), a driving pattern, etc. of the vehicle 100. At block 804, the park-assist controller 124 collects data of a surrounding area of the vehicle 100. For example, the park-assist controller 124 collects proximity data (e.g., via the range-detection sensors) of nearby object(s) and/or location-classification information (e.g., via the range-detection sensors, the remote server 218). For example, the location-classification information identifies (i) on which road the vehicle 100 is travelling, (ii) how many lanes the road includes, (iii) in which lane of the road the vehicle 100 is travelling, (iv) a width of the lane, (v) whether the road is bending, (vi) whether the vehicle 100 is in a construction zone, (vii) whether the vehicle 100 is in a parking lot, (viii) whether the vehicle 100 is in a settlement area, etc.
  • At block 806, the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) along the left side of the vehicle 100, for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) to the left of the vehicle 100, the method 800 proceeds to block 810. Otherwise, in response to the park-assist controller 124 determining not to suppress the identification of potential parking spot(s) to the left of the vehicle 100, the method 800 proceeds to block 808 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., parallel spots, perpendicular spots, angled spots) along the left side of the vehicle 100 (e.g., via the range-detection sensors).
  • At block 810, the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) along the right side of the vehicle 100, for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) to the right of the vehicle 100, the method 800 proceeds to block 814. Otherwise, in response to the park-assist controller 124 determining not to suppress the identification of potential parking spot(s) to the right of the vehicle 100, the method 800 proceeds to block 812 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., parallel spots, perpendicular spots, angled spots) along the right side of the vehicle 100 (e.g., via the range-detection sensors).
  • At block 814, the park-assist controller 124 determines whether to suppress identification of potential parking spot(s) in front of and/or behind the vehicle 100, for example, based on the collected vehicle data and/or data of the surrounding area. In response to the park-assist controller 124 determining to suppress the identification of potential parking spot(s) in front of and/or behind the vehicle 100, the method 800 proceeds to block 818. Otherwise, in response to the park-assist controller 124 determining not to suppress the identification of potential parking spot(s) in front of and/or behind the vehicle 100, the method 800 proceeds to block 816 at which the park-assist controller 124 monitors for potential parking spot(s) (e.g., perpendicular spots, angled spots) in front of and/or behind the vehicle 100 (e.g., via the range-detection sensors).
  • At block 818, the park-assist controller 124 determines whether it has identified any potential parking spot(s) at blocks 808, 812, 816. In response to the park-assist controller 124 not identifying a potential parking spot, the method 800 returns to block 802. Otherwise, in response to the park-assist controller identifying potential parking spot(s), the method 800 proceeds to block 820.
  • At block 820, the park-assist controller 124 presents a representation of one or more of the potential parking spot(s) to an operator via the display 118 of the vehicle 100. At block 822, the HMI unit 204 of the vehicle 100 receives a selection from the operator of one of the potential parking spot(s). For example, the HMI unit 204 collects the selection from the operator as a tactile input (e.g., via a button, a dial, a touchscreen such as the display 118, etc.) and/or an audio input (e.g., via the cabin microphone 216, etc.).
  • At block 822, the park-assist controller 124 determines whether the potential parking spot has been confirmed or corrected by the operator. For example, the HMI unit 204 receives a confirmation input from the operator upon the operator confirming that the potential parking spot, as represented via the display 118, matches an actual parking spot viewed by the operator. The HMI unit 204 receives a correction input from the operator to inform the park-assist controller 124 that the potential parking spot, as represented via the display 118, does not match an actual parking spot viewed by the operator. In some examples, the correction input includes a readjustment of the potential parking spot such that the potential parking spot, as represented via the display 118, now matches an actual parking spot viewed by the operator.
  • In response to the park-assist controller 124 determining that the potential parking has been confirmed by the operator, the method 800 proceeds to block 826 at which the autonomy unit 122 performs park-assist motive functions to park the vehicle 100 in the identified parking spot. Otherwise, in response to the park-assist controller 124 determining that the potential parking has been corrected by the operator, the method 800 proceeds to block 828 at which the park-assist controller 124 determines whether it identifies another parking spot based on the correction. In response to the park-assist controller 124 not identifying another parking spot based on the correction, the method 800 returns to block 802. Otherwise, in response to the park-assist controller 124 identifying another parking spot based on the correction, the method 800 proceeds to block 826 at which the autonomy unit 122 parks the vehicle 100 in the identified parking spot. At block 830, the park-assist controller stores information of the identified parking spot in a parking map (e.g., in the memory 214 onboard the vehicle 100, in the remote server 218, etc.).
  • In this application, the use of the disjunctive is intended to include the conjunctive. The use of definite or indefinite articles is not intended to indicate cardinality. In particular, a reference to “the” object or “a” and “an” object is intended to denote also one of a possible plurality of such objects. Further, the conjunction “or” may be used to convey features that are simultaneously present instead of mutually exclusive alternatives. In other words, the conjunction “or” should be understood to include “and/or”. The terms “includes,” “including,” and “include” are inclusive and have the same scope as “comprises,” “comprising,” and “comprise” respectively. Additionally, as used herein, the terms “module” and “unit” refer to hardware with circuitry to provide communication, control and/or monitoring capabilities. A “module” and a “unit” may also include firmware that executes on the circuitry.
  • The above-described embodiments, and particularly any “preferred” embodiments, are possible examples of implementations and merely set forth for a clear understanding of the principles of the invention. Many variations and modifications may be made to the above-described embodiment(s) without substantially departing from the spirit and principles of the techniques described herein. All modifications are intended to be included herein within the scope of this disclosure and protected by the following claims.

Claims (18)

1. A vehicle comprising:
range-detection sensors;
an acceleration sensor;
an autonomy unit to perform park-assist; and
a controller configured to:
determine, via the acceleration sensor, whether the vehicle is accelerating;
responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors; and
responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots,
wherein, when the vehicle is in one of a plurality of lanes designated for a same direction-of-travel, the controller is configured to suppress the identification of potential parallel parking spots along a side of the vehicle while detecting one or more of the plurality of lanes on the side of the vehicle.
2. The vehicle of claim 1, wherein the acceleration sensor includes a vehicle speed sensor.
3. The vehicle of claim 1, wherein the acceleration sensor includes an accelerator pedal position sensor.
4. The vehicle of claim 1, further including a display to present a representation of a parking spot identified by the controller.
5. The vehicle of claim 4, wherein the autonomy unit is to perform the park-assist to park the vehicle in the parking spot identified by the controller.
6. The vehicle of claim 1, wherein the controller is configured to suppress the identification of the potential parking spots responsive to determining, via the range-detection sensors, that the vehicle is passing or being passed by another vehicle.
7. (canceled)
8. The vehicle of claim 1, further including a GPS receiver to identify a vehicle location, wherein the controller is configured to determine whether to suppress the identification of the potential parking spots based on the vehicle location.
9. The vehicle of claim 8, further including a communication module to retrieve parking information for the vehicle location, wherein the controller is configured to determine whether to suppress the identification of the potential parking spots for the vehicle location based on the parking information.
10. The vehicle of claim 1, wherein the controller is configured to suppress the identification of a potential perpendicular parking spot in front of the vehicle responsive to detecting that the vehicle is located on a road.
11. The vehicle of claim 10, wherein the controller is configured to suppress the identification of the potential perpendicular parking spot for remote park-assist.
12. The vehicle of claim 1, further including a steering wheel angle sensor, wherein the controller is configured to suppress the identification of a potential perpendicular parking spot in front of the vehicle upon determining, via the steering wheel angle sensor and the range-detection sensors, that the vehicle is turning away from the potential perpendicular parking spot.
13. The vehicle of claim 12, wherein the controller is configured to suppress the identification of the potential perpendicular parking spot based on the steering wheel angle sensor in response to detecting that the vehicle is at least one of within a parking lot and approaching a bend in a road.
14. The vehicle of claim 1, wherein the controller is configured to override suppressing the identification of the potential parking spots responsive to determining that a current driving pattern of the vehicle corresponds with a parking lot.
15-20. (Canceled)
21. A vehicle comprising:
range-detection sensors;
an acceleration sensor;
an autonomy unit to perform park-assist; and
a controller configured to:
determine, via the acceleration sensor, whether the vehicle is accelerating;
responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors;
responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots; and
responsive to detecting that the vehicle is located on a road, suppress the identification of a potential perpendicular parking spot in front of the vehicle.
22. A vehicle comprising:
range-detection sensors;
an acceleration sensor;
an autonomy unit to perform park-assist;
a steering wheel angle sensor; and
a controller configured to:
determine, via the acceleration sensor, whether the vehicle is accelerating;
responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors;
responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots; and
suppress the identification of a potential perpendicular parking spot in front of the vehicle upon determining, via the steering wheel angle sensor and the range-detection sensors, that the vehicle is turning away from the potential perpendicular parking spot.
23. A vehicle comprising:
range-detection sensors;
an acceleration sensor;
an autonomy unit to perform park-assist; and
a controller configured to:
determine, via the acceleration sensor, whether the vehicle is accelerating;
responsive to determining that the vehicle is not accelerating, identify potential parking spots for the park-assist via the range-detection sensors;
responsive to detecting that the vehicle is accelerating, suppress identification of the potential parking spots; and
responsive to determining that a current driving pattern of the vehicle corresponds with a parking lot, override suppressing the identification of the potential parking spots.
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DE102019127367.6A DE102019127367A1 (en) 2018-10-12 2019-10-10 PARKING SPACE IDENTIFICATION FOR VEHICLE PARKING SUPPORT

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220348218A1 (en) * 2021-05-03 2022-11-03 Nissan North America, Inc. System and method of curb management for a vehicle
US20220379904A1 (en) * 2021-05-28 2022-12-01 Ford Global Technologies, Llc Method for operating a motor vehicle with a remotely controlled parking assistant

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230286584A1 (en) * 2022-03-08 2023-09-14 Ford Global Technologies, Llc Method for operating a motor vehicle with a parking assistant

Family Cites Families (418)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3844340A1 (en) 1988-12-30 1990-07-05 Licentia Gmbh Parking aid
DE69730570T2 (en) 1996-10-09 2005-02-03 Honda Giken Kogyo K.K. Automatic steering system for a vehicle
US6275754B1 (en) 1996-10-09 2001-08-14 Honda Giken Kogyo Kabushiki Kaisha Automatic steering system for vehicle
KR100576526B1 (en) 1997-01-09 2007-07-09 후지 덴키 가부시끼가이샤 Distance measuring device
DE19817142C5 (en) 1998-04-17 2015-10-22 Bayerische Motoren Werke Aktiengesellschaft Parking assistance for motor vehicles
DE19821163A1 (en) 1998-05-12 1999-11-18 Volkswagen Ag Driver assist method for vehicle used as autonomous intelligent cruise control
EP2267656A3 (en) 1998-07-31 2012-09-26 Panasonic Corporation Image displaying apparatus und image displaying method
JP3596314B2 (en) 1998-11-02 2004-12-02 日産自動車株式会社 Object edge position measuring device and moving object traffic judging device
GB2344481B (en) 1998-12-05 2001-02-21 Terence Boddy Auto park
US6452617B1 (en) 2000-01-10 2002-09-17 International Business Machines Corporation Adjusting a click time threshold for a graphical user interface
US6476730B2 (en) 2000-02-29 2002-11-05 Aisin Seiki Kabushiki Kaisha Assistant apparatus and method for a vehicle in reverse motion
WO2002047942A2 (en) 2000-11-16 2002-06-20 Donnelly Corporation Vehicle compartment occupancy detection system
JP4615766B2 (en) 2000-12-15 2011-01-19 本田技研工業株式会社 Parking assistance device
JP3909226B2 (en) 2001-06-29 2007-04-25 アルプス電気株式会社 Passive entry with anti-theft function
JP2003063340A (en) 2001-08-28 2003-03-05 Aisin Seiki Co Ltd Drive auxiliary device
US6714132B2 (en) 2001-10-11 2004-03-30 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Self-activating system and method for alerting when an object or a person is left unattended
US6744364B2 (en) 2001-10-25 2004-06-01 Douglas L. Wathen Distance sensitive remote control systems
US6724322B2 (en) 2001-12-21 2004-04-20 Lear Corporation Remote system for providing vehicle information to a user
US6683539B2 (en) 2001-12-27 2004-01-27 Koninklijke Philips Electronics N.V. Computer vision based parking assistant
JP2003209749A (en) 2002-01-11 2003-07-25 Olympus Optical Co Ltd Imaging device
JP4078087B2 (en) 2002-02-04 2008-04-23 株式会社東海理化電機製作所 Electronic key system
US9701265B2 (en) 2002-06-11 2017-07-11 Intelligent Technologies International, Inc. Smartphone-based vehicle control methods
US6801855B1 (en) 2002-06-28 2004-10-05 Garmin Ltd. Systems and methods with integrated GPS and dead reckoning capabilities
US6850844B1 (en) 2002-06-28 2005-02-01 Garmin Ltd. Portable navigation device with integrated GPS and dead reckoning capabilities
US7123167B2 (en) 2002-10-07 2006-10-17 Staniszewski John T Vehicle parking assistance electronic timer system and method
JP2004142543A (en) 2002-10-23 2004-05-20 Fuji Photo Film Co Ltd Abnormality notifying device for automobile
JP2004168185A (en) 2002-11-20 2004-06-17 Honda Motor Co Ltd Tire pressure monitoring device
JP2004287884A (en) 2003-03-24 2004-10-14 Nippon Signal Co Ltd:The Parking system management system
CA2475532A1 (en) 2003-07-24 2005-01-24 Ronel Alfonso Long-range wireless vehicle command system
US7340109B2 (en) 2003-09-30 2008-03-04 Fotonation Vision Limited Automated statistical self-calibrating detection and removal of blemishes in digital images dependent upon changes in extracted parameter values
US20050099275A1 (en) 2003-11-06 2005-05-12 Kamdar Hitan S. Method and system for status indication on a key fob
JP2005193742A (en) 2004-01-05 2005-07-21 Honda Motor Co Ltd Parking assistance system and parking assistance device
DE102005006966A1 (en) 2004-03-05 2005-09-29 Continental Teves Ag & Co. Ohg Parking aid for motor vehicles assists in steering and parking by applying torque to steering wheel, and by two or more artificial steering stops on parking path
DE102004027640A1 (en) 2004-06-05 2006-06-08 Robert Bosch Gmbh Method and device for assisted parking of a motor vehicle
US20060010961A1 (en) 2004-07-19 2006-01-19 Alex Gibson Method and apparatus for detecting leakage rate in a tire pressure monitoring system
JPWO2006064544A1 (en) 2004-12-14 2008-06-12 株式会社日立製作所 Car storage equipment
US20060235590A1 (en) 2005-02-11 2006-10-19 Farhad Bolourchi Parking assist utilizing steering system
EP1848626B1 (en) 2005-02-18 2017-04-19 Bayerische Motoren Werke Aktiengesellschaft Device for bringing a motor vehicle to a target position
US7271738B2 (en) 2005-04-12 2007-09-18 International Business Machines Corporation Restricted parking system
US7834778B2 (en) 2005-08-19 2010-11-16 Gm Global Technology Operations, Inc. Parking space locator
JP4414959B2 (en) 2005-11-16 2010-02-17 アイシン精機株式会社 Parking assistance device
KR101320223B1 (en) 2005-12-23 2013-10-21 콘티넨탈 테베스 아게 운트 코. 오하게 Method and system for assisting a driver when parking or manoeuvring a motor vehicle
WO2007074048A1 (en) 2005-12-23 2007-07-05 Continental Teves Ag & Co. Ohg Method for determining absolute tyre rolling circumferences and tyre pressure control system
US8577538B2 (en) 2006-07-14 2013-11-05 Irobot Corporation Method and system for controlling a remote vehicle
US8164628B2 (en) 2006-01-04 2012-04-24 Mobileye Technologies Ltd. Estimating distance to an object using a sequence of images recorded by a monocular camera
FR2898204B1 (en) 2006-03-02 2014-06-20 Patrick Hurpin METHOD AND SYSTEM FOR COLLECTIVE TRANSPORT
US7924483B2 (en) 2006-03-06 2011-04-12 Smith Scott T Fused multi-array color image sensor
KR100826532B1 (en) 2006-03-28 2008-05-02 엘지전자 주식회사 Mobile communication terminal and key input detection method thereof
US7620309B2 (en) 2006-04-04 2009-11-17 Adobe Systems, Incorporated Plenoptic camera
JP4432930B2 (en) 2006-04-25 2010-03-17 トヨタ自動車株式会社 Parking assistance device and parking assistance method
JP2007334825A (en) 2006-06-19 2007-12-27 Denso Corp Vehicle position information annunciating system
JP4650359B2 (en) 2006-07-06 2011-03-16 日産自動車株式会社 Vehicle antenna connection diagnosis apparatus and vehicle antenna connection diagnosis method
EP1884421B1 (en) 2006-08-04 2008-10-08 Harman Becker Automotive Systems GmbH Method and system for processing voice commands in a vehicle enviroment
DE602006005493D1 (en) 2006-10-02 2009-04-16 Harman Becker Automotive Sys Voice control of vehicle elements from outside a vehicle cabin
DE102006052575A1 (en) 2006-11-08 2008-05-21 Volkswagen Ag Park steering assistant with improved cross-park function
DE102006058213A1 (en) 2006-12-11 2008-07-03 Bayerische Motoren Werke Aktiengesellschaft Vehicle, has control device that is provided such that parking assistance system is automatically activated, as soon as measured vehicle speed by measuring device lies within predetermined speed range
US20080154464A1 (en) 2006-12-26 2008-06-26 Honda Motor Co., Ltd. Automatic Parking control apparatus for vehicle
US20080168402A1 (en) 2007-01-07 2008-07-10 Christopher Blumenberg Application Programming Interfaces for Gesture Operations
GB2441835B (en) 2007-02-07 2008-08-20 Sonaptic Ltd Ambient noise reduction system
DE102007009745A1 (en) 2007-02-28 2008-09-04 Continental Automotive Gmbh Method for controlling vehicle steering during parking process, involves measuring parking place selected for parking vehicle and establishing orientation field, where orientation field determines number of support points
EP2131150B1 (en) 2007-03-26 2013-05-29 Toyota Jidosha Kabushiki Kaisha Navigation device
US20080238643A1 (en) 2007-03-27 2008-10-02 Malen Peter F Cargo carrier sensor system
US7850078B2 (en) 2007-04-23 2010-12-14 Lear Corporation Remote control reactivation
JP4678534B2 (en) 2007-06-07 2011-04-27 ソニー株式会社 Navigation device and map scroll processing method
US7847709B2 (en) 2007-08-28 2010-12-07 Gm Global Technology Operations, Inc. Multimode vehicle location device and method
US7737866B2 (en) 2007-09-27 2010-06-15 Automotive Research & Testing Center Auto-parking device
US20090098907A1 (en) 2007-10-15 2009-04-16 Gm Global Technology Operations, Inc. Parked Vehicle Location Information Access via a Portable Cellular Communication Device
KR20090038540A (en) 2007-10-16 2009-04-21 주식회사 현대오토넷 Apparatus and method for changing image position on screen and navigation system using same
US8098146B2 (en) 2007-10-26 2012-01-17 Measurement Ltd. Tire pressure monitoring system using wireless network
US20090115639A1 (en) 2007-11-05 2009-05-07 Gm Global Technology Operations, Inc. Method and system for indicating a location of a vehicle
JPWO2009060663A1 (en) 2007-11-08 2011-03-17 ボッシュ株式会社 Parking assistance device
JP2009123004A (en) 2007-11-15 2009-06-04 Panasonic Corp Input device for portable electronic device, portable electronic device
US20090146813A1 (en) 2007-12-10 2009-06-11 Acropolis Engineering Automobile forgotten passenger alarm and notification
KR101013898B1 (en) 2007-12-12 2011-02-14 현대자동차주식회사 Car Parking System
US8479105B2 (en) 2008-03-24 2013-07-02 International Business Machines Corporation Managing graphical user interface objects in a computing environment
JP4706711B2 (en) 2008-03-25 2011-06-22 パナソニック電工株式会社 Parking space monitoring device
DE102008018015A1 (en) 2008-04-09 2009-10-22 Continental Automotive Gmbh A method of detecting a pressure loss of a tire, tire pressure monitoring system, vehicle and computer product program
US7804425B2 (en) 2008-05-20 2010-09-28 Ford Global Technologies, Llc Parking assist system
JP5124351B2 (en) 2008-06-04 2013-01-23 三洋電機株式会社 Vehicle operation system
DE102008029348A1 (en) 2008-06-20 2009-12-31 Audi Ag A motor vehicle comprising an electronically shiftable automatic transmission and a park-steering assistance system for assisting a parking operation
KR101249553B1 (en) 2008-07-10 2013-04-01 주식회사 만도 Auto Parking System and Apparatus Considering Air Pressure of Tire of Vehicle
DE102008033925B4 (en) 2008-07-18 2017-08-24 Continental Automotive Gmbh Garage assistance system and method for its operation
US8071878B2 (en) 2008-07-29 2011-12-06 Psion Teklogix Inc. Sealing system and seal component for a display assembly of a portable device
US8335598B2 (en) 2008-09-23 2012-12-18 Lear Corporation System and method for detecting radio frequency signals and controlling vehicle operations in response thereto
US8242884B2 (en) 2008-09-24 2012-08-14 Denso International America, Inc. Car finder by cell phone
US8126450B2 (en) 2008-09-24 2012-02-28 Embarq Holdings Company Llc System and method for key free access to a vehicle
US8224313B2 (en) 2008-09-24 2012-07-17 Centurylink Intellectual Property Llc System and method for controlling vehicle systems from a cell phone
US20100114488A1 (en) 2008-10-31 2010-05-06 Temic Automotive Of North America, Inc. Systems and Methods for Locating a Vehicle
US8587681B2 (en) 2008-11-21 2013-11-19 Omnivision Technologies, Inc. Extended depth of field for image sensor
US20100136944A1 (en) 2008-11-25 2010-06-03 Tom Taylor Method and system for performing a task upon detection of a vehicle trigger
US8035503B2 (en) 2008-12-09 2011-10-11 Delphi Technologies, Inc. Vehicle location reminder system and method
US20100152972A1 (en) 2008-12-15 2010-06-17 Joe Charles Attard Parallel park assist
KR101182853B1 (en) 2008-12-19 2012-09-14 한국전자통신연구원 System and method for auto valet parking
AU2010212148B2 (en) 2009-02-06 2014-07-10 Bae Systems Plc Touch -screen vehicle remote control
CN102333681B (en) 2009-02-26 2014-11-05 爱信精机株式会社 Parking assistance device
US8180547B2 (en) 2009-03-27 2012-05-15 Ford Global Technologies, Llc Telematics system and method for traction reporting and control in a vehicle
DE102009021282A1 (en) 2009-05-14 2010-11-25 GM Global Technology Operations, Inc., Detroit Motor vehicle with a parking assistance system
DE102009024083A1 (en) 2009-06-05 2010-12-09 Valeo Schalter Und Sensoren Gmbh Method for carrying out an at least semi-autonomous parking operation of a vehicle and parking assistance system for a vehicle
US9225531B2 (en) 2009-06-18 2015-12-29 Visa International Service Association Automated test to tell computers and humans apart
CN101929921A (en) 2009-06-22 2010-12-29 钟桢 Vehicle failure detection method and device based on smart phone
US8787868B2 (en) 2009-08-17 2014-07-22 Daniel Leblanc Alarm notification system and method
DE102009039084A1 (en) 2009-08-27 2011-03-03 Valeo Schalter Und Sensoren Gmbh A method for assisting a driver of a motor vehicle when parking in a transverse parking space, Fahrassistzeinrichtung and motor vehicle with a driver assistance device
DE102009041587A1 (en) 2009-09-15 2011-03-17 Valeo Schalter Und Sensoren Gmbh A driver assistance device for a motor vehicle and method for assisting a driver in monitoring an autonomous parking operation of a motor vehicle
JP5590342B2 (en) 2009-09-17 2014-09-17 日本電気株式会社 Electronic device using touch panel and method for changing set value
US20110071725A1 (en) 2009-09-23 2011-03-24 Ford Global Technologies, Llc Remotely interacting with a vehicle to perform servicing and engineering functions from a nomadic device or computer
DE102009045286A1 (en) * 2009-10-02 2011-04-21 Robert Bosch Gmbh Method for imaging the environment of a vehicle
KR101283792B1 (en) 2009-11-17 2013-07-08 주식회사 만도 Method and apparatus for recognizing parking lot
DE102009046966B4 (en) 2009-11-23 2019-01-31 Robert Bosch Gmbh Method for assisting the driver of a vehicle
DE102009060169A1 (en) 2009-12-23 2011-06-30 Volkswagen AG, 38440 Automatic forward parking in head parking spaces
US8493177B2 (en) 2010-01-29 2013-07-23 Immersion Corporation System and method of haptically communicating vehicle information from a vehicle to a keyless entry device
US20110190972A1 (en) 2010-02-02 2011-08-04 Gm Global Technology Operations, Inc. Grid unlock
US8618955B2 (en) 2010-02-23 2013-12-31 GM Global Technology Operations LLC Park assist system and method
US20110253463A1 (en) 2010-04-14 2011-10-20 Mark Eric Smith Modular hybrid electric vehicle system
JP5429016B2 (en) 2010-04-14 2014-02-26 株式会社デンソー In-vehicle communication system and in-vehicle device
CA2798925C (en) 2010-05-10 2022-09-27 Park Assist Llc. Method and system for managing a parking lot based on intelligent imaging
DE102010020208A1 (en) 2010-05-12 2011-11-17 Volkswagen Ag Method for parking or parking a vehicle and corresponding assistance system and vehicle
DE102010020204A1 (en) 2010-05-12 2011-11-17 Volkswagen Ag Method for parking a vehicle and corresponding parking assistance system and vehicle
GB201008710D0 (en) 2010-05-25 2010-07-07 Jaguar Cars Vehicle communications
CN103079935B (en) 2010-06-04 2016-04-13 大众汽车有限公司 Method and device for assisting vehicle parking
US8427289B2 (en) 2010-06-16 2013-04-23 Lear Corporation Low latency inside/outside determination for portable transmitter
DE102010030213B4 (en) 2010-06-17 2020-12-17 Robert Bosch Gmbh Parking aid system for perpendicular parking spaces
US20120007741A1 (en) 2010-07-09 2012-01-12 Laffey Sr Joseph Francis Auto Reminder
DE102010034129B4 (en) 2010-08-12 2013-10-17 Huf Hülsbeck & Fürst Gmbh & Co. Kg Method for operating a tire pressure monitoring unit
US8509982B2 (en) 2010-10-05 2013-08-13 Google Inc. Zone driving
US8799037B2 (en) 2010-10-14 2014-08-05 Palto Alto Research Center Incorporated Computer-implemented system and method for managing motor vehicle parking reservations
WO2012062339A1 (en) 2010-11-08 2012-05-18 Elektrobit Automotive Gmbh Technique for calibrating dead reckoning positioning data
EP2638524A2 (en) 2010-11-09 2013-09-18 The Provost, Fellows, Foundation Scholars, & the other members of Board, of the College of the Holy & Undiv. Trinity of Queen Elizabeth near Dublin Method and system for recovery of 3d scene structure and camera motion from a video sequence
US10037421B2 (en) 2010-11-29 2018-07-31 Biocatch Ltd. Device, system, and method of three-dimensional spatial user authentication
US8725315B2 (en) 2010-12-17 2014-05-13 GM Global Technology Operations LLC Bi-directional VHF UHF polling mechanisms for intelligent PEPS polling
US8706350B2 (en) 2010-12-17 2014-04-22 GM Global Technology Operations LLC Secondary sensing for intelligent passive entry passive start polling
US20120173080A1 (en) 2010-12-29 2012-07-05 Delphi Technologies, Inc. System and method for assisting a vehicle operator to parallel park a vehicle
EP2671373B1 (en) 2011-02-05 2017-12-06 Apple Inc. Method and apparatus for mobile location determination
US9241147B2 (en) 2013-05-01 2016-01-19 Legend3D, Inc. External depth map transformation method for conversion of two-dimensional images to stereoscopic images
DE102011013681A1 (en) 2011-03-11 2012-09-13 Valeo Schalter Und Sensoren Gmbh A method for detecting a parking space, parking assistance system and motor vehicle with a parking assistance system
US20120323643A1 (en) 2011-03-24 2012-12-20 Premier Parking LLC Parking management systems and methods
US8552856B2 (en) 2011-03-29 2013-10-08 VIZIO Inc. Low battery remote display system
US8542130B2 (en) 2011-04-06 2013-09-24 Ford Global Technologies Integration of global positioning system and active parking assist functionalities
US9969428B2 (en) 2011-04-19 2018-05-15 Ford Global Technologies, Llc Trailer backup assist system with waypoint selection
US9506774B2 (en) 2011-04-19 2016-11-29 Ford Global Technologies, Llc Method of inputting a path for a vehicle and trailer
US9493187B2 (en) 2011-04-19 2016-11-15 Ford Global Technologies, Llc Control for trailer backup assist system
US9783230B2 (en) 2011-04-19 2017-10-10 Ford Global Technologies, Llc Trailer backup assist system with off-shoot correction
US20120271500A1 (en) 2011-04-20 2012-10-25 GM Global Technology Operations LLC System and method for enabling a driver to input a vehicle control instruction into an autonomous vehicle controller
FR2974669B1 (en) 2011-04-28 2013-06-07 Commissariat Energie Atomique IMAGEUR DEVICE FOR EVALUATING DISTANCES OF ELEMENTS IN AN IMAGE
WO2012159195A1 (en) 2011-05-20 2012-11-29 Otodata Wireless Network Inc. Method and system for monitoring interactions with a vehicle
US20130145441A1 (en) 2011-06-03 2013-06-06 Dhawal Mujumdar Captcha authentication processes and systems using visual object identification
DE102011077173A1 (en) 2011-06-08 2012-12-13 Robert Bosch Gmbh Method for determining a parking trajectory
US20120323700A1 (en) 2011-06-20 2012-12-20 Prays Nikolay Aleksandrovich Image-based captcha system
US20130006472A1 (en) 2011-06-30 2013-01-03 Continental Automotive System, Inc. Electronic path entering for autonomous or semi-autonomous trailer backing
GB2492543B (en) 2011-06-30 2013-07-03 Land Rover Uk Ltd A vehicle sideslip control system and method
US8612137B2 (en) 2011-07-18 2013-12-17 Ituran Usa System, method and apparatus for tracking parking behavior of a vehicle
TWI464085B (en) 2011-07-22 2014-12-11 Automotive Res & Testing Ct Parking space detection method
DE102011080148B4 (en) 2011-07-29 2023-01-12 Robert Bosch Gmbh Method and device for assisting a driver of a motor vehicle when maneuvering out of a parking space
US9267809B2 (en) 2011-08-11 2016-02-23 JVC Kenwood Corporation Control apparatus and method for controlling operation target device in vehicle, and steering wheel
WO2013044221A2 (en) 2011-09-23 2013-03-28 Honda Motor Co., Ltd Selective current reduction enabled with electrically deactivated key fob
KR101305630B1 (en) 2011-09-30 2013-09-09 현대자동차주식회사 Parking Assist System for varying parking lot and method thereof
DE102011084366A1 (en) 2011-10-12 2013-04-18 Bayerische Motoren Werke Aktiengesellschaft Remote control for a parking assistance system and a remote control controllable parking assistance system
DE102011116169A1 (en) 2011-10-14 2013-04-18 Continental Teves Ag & Co. Ohg Device for assisting a driver when driving a vehicle or for autonomously driving a vehicle
DE102011084943A1 (en) 2011-10-21 2013-04-25 Robert Bosch Gmbh Method and device for assisting a driver of a motor vehicle
US8768292B2 (en) 2011-11-01 2014-07-01 Alfonzo Welch Portable wireless automobile and personal emergency responder and messenger system and method
DE102011118147A1 (en) 2011-11-10 2013-05-16 Gm Global Technology Operations, Llc Method for determining a speed of a vehicle and vehicle
GB201119792D0 (en) 2011-11-16 2011-12-28 Jaguar Cars Vehicle access system
JP5582578B2 (en) 2011-11-24 2014-09-03 オムロンオートモーティブエレクトロニクス株式会社 Vehicle portable device and information communication system
KR101360424B1 (en) 2011-12-09 2014-02-10 현대자동차주식회사 Method for computing parking locus
US9429657B2 (en) 2011-12-14 2016-08-30 Microsoft Technology Licensing, Llc Power efficient activation of a device movement sensor module
DE102011121722A1 (en) 2011-12-20 2013-06-20 Gm Global Technology Operations, Llc Device for parking control
DE102011122421B4 (en) 2011-12-24 2022-05-19 Volkswagen Aktiengesellschaft Method and device for parking a motor vehicle
DE102012200725A1 (en) 2012-01-19 2013-07-25 Robert Bosch Gmbh Remote control of parking and maneuvering maneuvers of motor vehicles
DE102012201112A1 (en) 2012-01-26 2013-08-01 Robert Bosch Gmbh Method for assisting a driver in forward parking
DE102012202934B4 (en) 2012-02-27 2025-10-16 Bayerische Motoren Werke Aktiengesellschaft Radio remote control for controlling vehicle functions of a motor vehicle
US20140350855A1 (en) 2012-02-28 2014-11-27 Google Inc. Systems and Methods for Providing Navigational Assistance to Reserved Parking Locations
US9429943B2 (en) 2012-03-05 2016-08-30 Florida A&M University Artificial intelligence valet systems and methods
US8594616B2 (en) 2012-03-08 2013-11-26 Ford Global Technologies, Llc Vehicle key fob with emergency assistant service
KR20130106005A (en) 2012-03-19 2013-09-27 주식회사 만도 Smart parking assist system of vehicle and control method thereof
KR101478067B1 (en) 2012-03-21 2015-01-02 주식회사 만도 Smart Parking Assist System of Vehicle and Control Method Thereof
JP5660073B2 (en) 2012-04-19 2015-01-28 トヨタ自動車株式会社 Parking assistance device, parking assistance method, and parking assistance program
DE102012007986A1 (en) 2012-04-20 2013-10-24 Valeo Schalter Und Sensoren Gmbh Remote maneuvering of a motor vehicle using a portable communication device
DE102012008858A1 (en) 2012-04-28 2012-11-08 Daimler Ag Method for performing autonomous parking process of motor vehicle e.g. passenger car, involves storing target position and/or last driven trajectory of vehicle in suitable device prior to start of autonomous vehicle parking operation
US9609284B2 (en) 2012-05-22 2017-03-28 Otoy, Inc. Portable mobile light stage
US9014920B1 (en) 2012-07-02 2015-04-21 Ricardo Torres Vehicle occupants alert and alarm system
US9914333B2 (en) 2012-07-05 2018-03-13 Uusi, Llc Vehicle trailer connect system
US8750832B2 (en) 2012-07-30 2014-06-10 GM Global Technology Operations LLC Connecting a personal mobile device to a vehicle communication unit
DE102012015922A1 (en) 2012-08-10 2014-02-13 Daimler Ag A method for performing a parking operation of a vehicle by means of a driver assistance system
DE102012017497B3 (en) 2012-08-17 2013-12-05 Audi Ag Traffic system for autonomous driving and method for determining a vehicle damage
DE102012215218B4 (en) 2012-08-28 2020-08-06 Ford Global Technologies, Llc Method and device for parking space optimization
US8933778B2 (en) 2012-09-28 2015-01-13 Intel Corporation Mobile device and key fob pairing for multi-factor security
US10019066B2 (en) 2012-09-28 2018-07-10 Tesla, Inc. Method of launching an application and selecting the application target window
KR20140042280A (en) 2012-09-28 2014-04-07 엘지전자 주식회사 Portable device and controlling method thereof
DE102013216630B4 (en) * 2012-10-26 2025-07-31 Ford Global Technologies, Llc Method and device for controlling an assisted parking process of a motor vehicle
US9656690B2 (en) 2012-10-30 2017-05-23 Robert Bosch Gmbh System and method for using gestures in autonomous parking
DE102012222972A1 (en) 2012-12-12 2014-06-12 Robert Bosch Gmbh Method for determining trajectory of driving maneuver, involves inputting symbol on touch-sensitive display device by user, where target pose is recognized depending on input symbol
JP6044335B2 (en) 2012-12-27 2016-12-14 日産自動車株式会社 Parking assistance device, parking assistance system, and parking assistance method
KR20140085136A (en) 2012-12-27 2014-07-07 현대자동차주식회사 The parking steering assist system
JP6167527B2 (en) 2013-01-14 2017-07-26 株式会社デンソー Vehicle system, electronic key, portable terminal, and in-vehicle device
CN103049159B (en) 2013-01-14 2015-07-01 成都西可科技有限公司 Method for preventing water drop false triggering of capacitive touch screen
JP5704180B2 (en) 2013-01-31 2015-04-22 トヨタ自動車株式会社 Electronic key terminal power consumption suppression system and electronic key terminal power consumption suppression method
US9511799B2 (en) 2013-02-04 2016-12-06 Ford Global Technologies, Llc Object avoidance for a trailer backup assist system
DE102013002283A1 (en) 2013-02-08 2014-08-14 Volkswagen Ag Method and device for Vorwärteinparken a motor vehicle in a transverse parking space
US9606241B2 (en) 2013-02-21 2017-03-28 Apple Inc. Sensor-assisted location fix
US9147065B2 (en) 2013-03-01 2015-09-29 Gogo Llc Determining human stimuli at computing devices
US9154920B2 (en) 2013-03-01 2015-10-06 Lear Corporation System and method for detecting a location of a wireless device
US9891068B2 (en) 2013-06-08 2018-02-13 Apple Inc. Mapping application search function
US9275208B2 (en) 2013-03-18 2016-03-01 Ford Global Technologies, Llc System for vehicular biometric access and personalization
US20140303839A1 (en) 2013-04-03 2014-10-09 Ford Global Technologies, Llc Usage prediction for contextual interface
US9696420B2 (en) 2013-04-09 2017-07-04 Ford Global Technologies, Llc Active park assist object detection
US10096246B2 (en) 2013-04-26 2018-10-09 Itron Networked Solutions, Inc. Using lighting and other streetside devices to indicate parking space availability and navigation information
EP2990273A4 (en) 2013-04-26 2016-04-06 Toyota Motor Co Ltd PARKING AID DEVICE
US8957786B2 (en) 2013-05-21 2015-02-17 Ford Global Technologies, Llc Enhanced alignment method for park assist
KR101448786B1 (en) 2013-05-22 2014-10-13 현대자동차 주식회사 Smart parking assistant system and parking balance method
GB2517129B (en) 2013-05-31 2015-12-09 Jaguar Land Rover Ltd Vehicle communication system
US8994548B2 (en) 2013-06-07 2015-03-31 Ford Global Technologies, Llc Automobile location detector
KR20140144470A (en) 2013-06-11 2014-12-19 주식회사 만도 Parking control method, device and system
EP3008484A1 (en) 2013-06-13 2016-04-20 Basf Se Detector for optically detecting at least one object
US9454251B1 (en) 2013-06-26 2016-09-27 Google Inc. Methods, systems, and media for controlling a remote device using a touch screen of a mobile device in a display inhibited state
EP3015319B1 (en) 2013-06-26 2017-10-04 Toyota Jidosha Kabushiki Kaisha Parking assist device
GB2520474B (en) 2013-07-04 2017-10-25 Jaguar Land Rover Ltd Vehicle Control System
MX349197B (en) 2013-07-04 2017-07-18 Philips Lighting Holding Bv DETERMINATION OF DISTANCE OR POSITION.
GB201312038D0 (en) 2013-07-04 2013-08-21 Jaguar Land Rover Ltd Trailer parameter identification system
DE102013213754A1 (en) 2013-07-15 2015-01-15 Ford Global Technologies, Llc Method and device for autonomous maneuvering of a motor vehicle
KR102180961B1 (en) 2013-07-16 2020-11-19 삼성전자주식회사 Method for processing input and an electronic device thereof
DE102013012394A1 (en) 2013-07-26 2015-01-29 Daimler Ag Method and device for remote control of a function of a vehicle
US9086879B2 (en) 2013-07-26 2015-07-21 GM Global Technology Operations LLC Methods and apparatus for optimizing battery life in a remote device
US20150039224A1 (en) 2013-07-30 2015-02-05 Here Global B.V. Method and apparatus for detecting and sharing vehicle location
US9102330B2 (en) 2013-07-31 2015-08-11 Here Global B.V. Method and apparatus for causing an adjustment in parking position for vehicles
US20150048927A1 (en) 2013-08-13 2015-02-19 Directed, Llc Smartphone based passive keyless entry system
US9264862B2 (en) 2013-08-15 2016-02-16 Apple Inc. Determining exit from a vehicle
AU2014310703B2 (en) 2013-08-19 2018-09-27 Basf Se Optical detector
KR20150022436A (en) 2013-08-23 2015-03-04 주식회사 만도 Apparatus, method and system for parking control
US10108910B2 (en) 2013-09-03 2018-10-23 Verizon Patent And Licensing Inc. Mobile parking systems and methods for providing real-time parking guidance
FR3010377B1 (en) 2013-09-09 2016-12-30 Valeo Securite Habitacle METHOD FOR SECURING A REMOTE CONTROL OF A MOTOR VEHICLE BY A MOBILE TERMINAL
FR3010364B1 (en) 2013-09-09 2015-12-11 Valeo Securite Habitacle METHOD FOR TRIGGERING A CONTROL ON A MOTOR VEHICLE BY EXCHANGING DATA BETWEEN A CONTROL EQUIPMENT AND AN IDENTIFIER MEMBER
JP2015060053A (en) 2013-09-18 2015-03-30 株式会社東芝 Solid-state imaging device, control device, and control program
DE102013016342A1 (en) 2013-09-30 2015-04-02 Daimler Ag Method for assisting reversing a team, driver assistance system
US9187061B2 (en) 2013-10-18 2015-11-17 GM Global Technology Operations LLC Electronic device finder system
JP6120371B2 (en) 2013-10-23 2017-04-26 クラリオン株式会社 Automatic parking control device and parking assist device
US20150116079A1 (en) 2013-10-24 2015-04-30 GM Global Technology Operations LLC Enhanced vehicle key fob
US9177475B2 (en) 2013-11-04 2015-11-03 Volkswagen Ag Driver behavior based parking availability prediction system and method
JP2015089733A (en) 2013-11-06 2015-05-11 トヨタ自動車株式会社 Parking assistance system
US9469247B2 (en) 2013-11-21 2016-10-18 Harman International Industries, Incorporated Using external sounds to alert vehicle occupants of external events and mask in-car conversations
US20150149265A1 (en) 2013-11-27 2015-05-28 GM Global Technology Operations LLC Controlled parking of autonomous vehicles
DE102013019904A1 (en) 2013-11-28 2015-05-28 Audi Ag Portable vehicle operating device with position detection
KR101477232B1 (en) 2013-11-29 2014-12-29 현대모비스 주식회사 Apparatus and method for controlling head-in parking of vehicle, and system for head-in parking of vehicle with the said apparatus
KR101535873B1 (en) 2013-11-29 2015-07-24 현대모비스 주식회사 Car navition system and method merged gnss with dr
DE102013020315A1 (en) 2013-12-05 2015-06-11 Valeo Schalter Und Sensoren Gmbh Method for carrying out an at least semi-autonomous parking operation of a motor vehicle, parking assistance system and motor vehicle
US20150161890A1 (en) 2013-12-05 2015-06-11 GM Global Technology Operations LLC Methods for identifying parking spots
US20150163649A1 (en) 2013-12-10 2015-06-11 Innova Electronics, Inc. Smartphone based telematics applications
JP6427873B2 (en) 2013-12-20 2018-11-28 株式会社Ihi Parking assistance device and system
US9274522B2 (en) 2014-01-14 2016-03-01 Robert Bosch Automotive Steering Gmbh Method for controlling the driving of a big rig and drive control system
DE102014000978A1 (en) 2014-01-25 2015-07-30 Audi Ag Method and device for controlling a team in a parking space
FR3017096B1 (en) 2014-01-31 2016-01-22 Renault Sas METHOD FOR CONTROLLING AN AUTOMATIC DISPLACEMENT MANEUVER OF A MOTOR VEHICLE
US10160382B2 (en) 2014-02-04 2018-12-25 Magna Electronics Inc. Trailer backup assist system
US9542609B2 (en) 2014-02-04 2017-01-10 Xerox Corporation Automatic training of a parked vehicle detector for large deployment
US9304009B2 (en) 2014-02-04 2016-04-05 Here Global B.V. Method and apparatus for providing passenger embarkation points for points of interests
US9739226B2 (en) 2014-02-07 2017-08-22 Ford Global Technologies, Llc Walk-away vehicle shutdown
US9233710B2 (en) 2014-03-06 2016-01-12 Ford Global Technologies, Llc Trailer backup assist system using gesture commands and method
CN103818204A (en) 2014-03-06 2014-05-28 深圳市道通科技有限公司 Method and device for tire pressure monitoring
JP5958975B2 (en) 2014-03-10 2016-08-02 トヨタ自動車株式会社 COMMUNICATION DEVICE, COMMUNICATION METHOD, AND COMMUNICATION SYSTEM
JP2015193280A (en) 2014-03-31 2015-11-05 富士通テン株式会社 Vehicle control apparatus and vehicle control method
US9863775B2 (en) 2014-04-11 2018-01-09 Nissan North America, Inc. Vehicle localization system
US9595145B2 (en) 2014-04-23 2017-03-14 Panasonic Automotive Systems Company Of America, Division Of Panasonic Corporation Of North America System for assigning a smartphone as a temporary key for a vehicle
JPWO2015166811A1 (en) 2014-04-30 2017-04-20 みこらった株式会社 Autonomous vehicles and programs for autonomous vehicles
DE102014209227B4 (en) 2014-05-15 2022-03-17 Ford Global Technologies, Llc parking assistance system
DE102014007915A1 (en) 2014-05-27 2015-12-03 Daimler Ag Method and device for remote control of a function of a vehicle by means of a mobile unit
FR3021798B1 (en) 2014-05-28 2018-01-05 Valeo Comfort And Driving Assistance MOBILE TELEPHONE FOR ACCESSING AND / OR STARTING A MOTOR VEHICLE
US10328932B2 (en) 2014-06-02 2019-06-25 Magna Electronics Inc. Parking assist system with annotated map generation
DE102014008478B3 (en) 2014-06-07 2015-08-06 Audi Ag Remote control of a motor vehicle during a parking phase
US9842444B2 (en) 2014-06-11 2017-12-12 Ford Global Technologies, Llc Phone sleeve vehicle fob
US9422002B2 (en) 2014-06-11 2016-08-23 Ford Global Technologies, Llc Fuel cell and battery powered vehicle parking
US9338162B2 (en) 2014-06-13 2016-05-10 International Business Machines Corporation CAPTCHA challenge incorporating obfuscated characters
DE102014211548A1 (en) 2014-06-17 2015-12-17 Robert Bosch Gmbh Method and device for controlling a vehicle by means of a remote control
US9870707B2 (en) 2014-06-23 2018-01-16 Hi-Park Solutions Ltd. Method and system for locating vacant parking places
US9731714B2 (en) 2014-06-25 2017-08-15 Fujitsu Ten Limited Vehicle apparatus
US9286803B2 (en) 2014-06-28 2016-03-15 Volkswagen Ag Directional parking availability visualization system
US9767627B2 (en) 2014-07-11 2017-09-19 Entrust, Inc. Method and apparatus for providing vehicle security
JP6421481B2 (en) 2014-07-18 2018-11-14 株式会社デンソー Remote control device and remote control system using the same
CN104183153A (en) 2014-07-23 2014-12-03 陈嘉延 Intelligent parking guiding system based on guidance of quadrotor unmanned plane
DE102014011802B4 (en) 2014-08-09 2019-04-18 Audi Ag Safe activation of a partially autonomous function of a motor vehicle via a portable communication device
DE102014111570A1 (en) 2014-08-13 2016-02-18 Valeo Schalter Und Sensoren Gmbh Method for finding a parking position of a motor vehicle, driver assistance system and motor vehicle
US9666074B2 (en) 2014-08-21 2017-05-30 Ford Global Technologies, Llc Method and system for vehicle parking
DE202014103988U1 (en) 2014-08-26 2015-11-27 Carman Enterprise Co., Ltd. Kit for the wireless control of a shunting drive system for a vehicle, Rangierantriebssystem and vehicle
US20160371607A1 (en) 2014-08-27 2016-12-22 Sparkcity.Com Ltd. Citywide parking system and method
US10293816B2 (en) 2014-09-10 2019-05-21 Ford Global Technologies, Llc Automatic park and reminder system and method of use
US10286953B2 (en) 2014-09-17 2019-05-14 Ford Global Technologies, Llc Autopark steering wheel snap reduction
DE102014219326A1 (en) 2014-09-24 2016-03-24 Continental Teves Ag & Co. Ohg Sensor fusion with smartphone in the vehicle
US9141503B1 (en) 2014-09-30 2015-09-22 Innova Electronics, Inc. Vehicle-specific diagnostic reset device and method
KR20160039460A (en) 2014-10-01 2016-04-11 현대모비스 주식회사 Slope parking assist system and method using tire sensor
US9902426B2 (en) 2014-10-17 2018-02-27 Hyundai Mobis Co., Ltd. Apparatus and method for driver assistance
KR102207325B1 (en) 2014-10-30 2021-01-26 현대모비스 주식회사 Apparatus for driver assistance
KR101583998B1 (en) 2014-10-17 2016-01-19 현대자동차주식회사 Smart parking assist apparatus and method thereof
US9704401B2 (en) 2014-10-22 2017-07-11 International Business Machines Corporation Intelligent parking space identification and notification
DE102014015655B4 (en) 2014-10-22 2018-07-12 Audi Ag Method for detecting a user and motor vehicle monitoring an automated driving maneuver
US9381859B2 (en) 2014-10-27 2016-07-05 Toyota Motor Engineering & Manufacturing North America, Inc. Reverse parking assistance with rear visual indicator
JP6354542B2 (en) 2014-11-26 2018-07-11 株式会社デンソー Automatic vehicle driving system
US9704392B2 (en) 2014-12-02 2017-07-11 Operr Technologies, Inc. Method and system for legal parking
KR101553868B1 (en) 2014-12-03 2015-09-17 현대모비스 주식회사 Apparatus and method for parking control of vehicle
US9283960B1 (en) 2014-12-15 2016-03-15 Ford Global Technologies, Llc Control of a vehicle to automatically exit a parking space
DE102014226458A1 (en) 2014-12-18 2016-06-23 Volkswagen Aktiengesellschaft Method and system for controlling an autonomously movable, data-technically coupled to a vehicle missile
CN105774691A (en) 2014-12-23 2016-07-20 法雷奥汽车内部控制(深圳)有限公司 Parking auxiliary system for vehicle and corresponding vehicle
JP2016119032A (en) 2014-12-24 2016-06-30 株式会社デンソー Touch display contact detection apparatus and touch display contact detection method
US9639994B2 (en) 2014-12-29 2017-05-02 Here Global B.V. Optimized parking system
CN104485013A (en) 2014-12-31 2015-04-01 武汉智慧城市研究院股份有限公司 Smart identification method for vehicle parking position
US9651655B2 (en) 2015-01-03 2017-05-16 Autotalks Ltd. Positioning enhancement through time-of-flight measurement in WLAN
EP3043253A1 (en) 2015-01-07 2016-07-13 Doro AB A mobile communication terminal providing adaptive sensitivity of a click event
DE102015200522B4 (en) 2015-01-15 2022-03-31 Ford Global Technologies, Llc Method for supporting a maneuvering process of a motor vehicle and driver assistance system
US10286950B2 (en) 2015-02-10 2019-05-14 Ford Global Technologies, Llc Speed optimized trajectory control for motor vehicles
DE102015202488A1 (en) 2015-02-12 2016-08-18 Robert Bosch Gmbh Method and device for monitoring a vehicle in an autonomous operating mode and in a parking lot
US9592826B2 (en) 2015-02-13 2017-03-14 Ford Global Technologies, Llc System and method for parallel parking a vehicle
KR20160103850A (en) 2015-02-25 2016-09-02 삼성전자주식회사 Method for controlling terminals and the same
DE102015002438A1 (en) 2015-02-26 2016-09-01 Daimler Ag A method of operating a motor vehicle for performing an automatic parking operation and motor vehicle having a parking system
US9616923B2 (en) 2015-03-03 2017-04-11 Ford Global Technologies, Llc Topographical integration for trailer backup assist system
US9610943B2 (en) 2015-03-05 2017-04-04 Ford Global Technologies, Llc System and method for parallel parking a vehicle
US9632664B2 (en) 2015-03-08 2017-04-25 Apple Inc. Devices, methods, and graphical user interfaces for manipulating user interface objects with visual and/or haptic feedback
EP3072710B1 (en) 2015-03-24 2018-03-28 LG Electronics Inc. Vehicle, mobile terminal and method for controlling the same
US9791538B2 (en) 2015-03-27 2017-10-17 Intel Corporation Ocean-deployed subsurface sensor location positioning system
CN104691544B (en) 2015-04-03 2017-03-01 重庆瓦力仪器有限公司 Full-automatic parking system and its method of parking
US9701280B2 (en) 2015-04-03 2017-07-11 GM Global Technology Operations LLC Revocation of mobile device communication control privileges
US10249123B2 (en) 2015-04-09 2019-04-02 Ford Global Technologies, Llc Systems and methods for mobile phone key fob management
EP3283907A4 (en) 2015-04-15 2018-05-02 Razer (Asia-Pacific) Pte. Ltd. Filtering devices and filtering methods
KR102318078B1 (en) 2015-04-15 2021-10-28 주식회사 만도모빌리티솔루션즈 Remote parking control system and control method thereof
DE102015208123B4 (en) 2015-04-17 2023-07-20 Bayerische Motoren Werke Aktiengesellschaft Parking assistance system that can be controlled by remote control for automatically parking a motor vehicle in a front parking space with automated lateral guidance based on a parking straight line
DE102015207804B4 (en) 2015-04-28 2017-03-16 Robert Bosch Gmbh Method for detecting parking areas and / or open spaces
US10365363B2 (en) 2015-05-08 2019-07-30 Humatics Corporation Mobile localization using sparse time-of-flight ranges and dead reckoning
US9547309B2 (en) 2015-05-13 2017-01-17 Uber Technologies, Inc. Selecting vehicle type for providing transport
DE102015209976B4 (en) 2015-05-29 2019-06-27 Bayerische Motoren Werke Aktiengesellschaft Safety check of a vehicle with a remote control driver assistance system
US9533653B2 (en) 2015-05-29 2017-01-03 Denso International America, Inc. Systems and methods for delegating control of vehicle features to a wearable electronic device
US10453325B2 (en) 2015-06-01 2019-10-22 Apple Inc. Creation of reminders using activity state of an application
US9844981B2 (en) 2015-06-02 2017-12-19 Karma Automotive Llc Systems and methods for use in a vehicle for detecting external events
GB2533983A (en) 2015-06-04 2016-07-13 Ford Global Tech Llc Parking assist method and system
US20160357354A1 (en) 2015-06-04 2016-12-08 Apple Inc. Condition-based activation of a user interface
KR102342267B1 (en) 2015-06-22 2021-12-22 삼성전자주식회사 Portable apparatus and method for changing a screen
US10336318B2 (en) 2015-06-22 2019-07-02 Ford Global Technologies, Llc Systems and methods for vehicle park assist
KR101942793B1 (en) 2015-07-03 2019-01-28 엘지전자 주식회사 Driver Assistance Apparatus and Vehicle Having The Same
KR102327345B1 (en) 2015-07-14 2021-11-17 주식회사 만도모빌리티솔루션즈 Parking controlling system and method thereof
US20170032593A1 (en) 2015-07-29 2017-02-02 GM Global Technology Operations LLC Remote wireless keyfob diagnostics
JP6544121B2 (en) 2015-07-31 2019-07-17 アイシン精機株式会社 Parking assistance device
JP5910904B1 (en) 2015-07-31 2016-04-27 パナソニックIpマネジメント株式会社 Driving support device, driving support system, driving support method, driving support program, and autonomous driving vehicle
US10023231B2 (en) 2015-08-12 2018-07-17 Madhusoodhan Ramanujam Parking autonomous vehicles
US9921743B2 (en) 2015-08-20 2018-03-20 International Business Machines Corporation Wet finger tracking on capacitive touchscreens
US9557741B1 (en) 2015-08-24 2017-01-31 Ford Global Technologies, Llc System and method for autonomous valet parking using plenoptic cameras
US10179590B2 (en) 2015-09-10 2019-01-15 Ford Global Technologies, Llc Park out assist
US9679485B2 (en) 2015-09-11 2017-06-13 International Business Machines Corporation Determining a parking position based on visual and non-visual factors
US20170073004A1 (en) 2015-09-13 2017-03-16 Daniel Robert Shepard Trailer backing up system accessories
JP6434884B2 (en) 2015-10-06 2018-12-05 矢崎総業株式会社 Display device
WO2017062448A1 (en) 2015-10-06 2017-04-13 Huf North America Automotive Parts Manufacturing Corp. System and method for locating a wireless communication device
US9725069B2 (en) 2015-10-12 2017-08-08 Ford Global Technologies, Llc Keyless vehicle systems
US20170116790A1 (en) 2015-10-22 2017-04-27 Collateral Opportunities, Llc Method and system for an automated parking system
JP6594736B2 (en) 2015-10-27 2019-10-23 クラリオン株式会社 Parking assistance device
DE102015221224A1 (en) 2015-10-29 2017-05-04 Bayerische Motoren Werke Aktiengesellschaft Method for parking space optimization of a parking strip which can be parked in the longitudinal direction
DE102016220945A1 (en) 2015-11-06 2017-05-11 Ford Global Technologies, Llc Method and device for supporting a maneuvering process of a motor vehicle
KR101850795B1 (en) 2015-11-09 2018-04-20 엘지전자 주식회사 Apparatus for Parking and Vehicle
KR101892026B1 (en) 2015-11-10 2018-08-27 현대자동차주식회사 Remote control car parking method and apparatus
US10906530B2 (en) 2015-11-10 2021-02-02 Hyundai Motor Company Automatic parking system and automatic parking method
KR102327341B1 (en) 2015-11-19 2021-11-17 주식회사 만도모빌리티솔루션즈 Smart parking assist system and method
IL244938A0 (en) 2015-11-23 2016-07-31 Cellopark Technologies Ltd Vehicle parking system, and method and device thereof
US9827983B2 (en) 2015-11-24 2017-11-28 Wellen Sham Automated vehicle parking
CN105513412A (en) 2015-11-27 2016-04-20 浙江甲虫信息科技有限公司 Bluetooth remote control parking space lock-based parking reservation fee collection system and method thereof
JP6909802B2 (en) 2015-12-02 2021-07-28 シティファイド インコーポレイテッドCitifyd, Inc. Vehicle parking and public transport beacon system
FR3045177B1 (en) 2015-12-09 2020-08-28 Valeo Comfort & Driving Assistance METHOD OF CHECKING THE FUNCTIONALITY OF A MOTOR VEHICLE BY MEANS OF A MOBILE TERMINAL
GB2534471A (en) 2015-12-22 2016-07-27 Daimler Ag Method for operating a motor vehicle by remote control
JP6914262B2 (en) 2015-12-22 2021-08-04 コンチネンタル オートモーティブ システムズ インコーポレイテッドContinental Automotive Systems, Inc. Radio capabilities and displays for vehicle / trailer unit collision alerts
US10386835B2 (en) 2016-01-04 2019-08-20 GM Global Technology Operations LLC System and method for externally interfacing with an autonomous vehicle
DE102016200060A1 (en) 2016-01-06 2017-07-06 Volkswagen Ag A method, computer program and apparatus for reducing disruption of temporal communication resources used for wireless communication between a vehicle key and a vehicle
US9773417B2 (en) 2016-01-08 2017-09-26 Ford Global Technologies, Llc Enhanced park assist system
US9959763B2 (en) 2016-01-08 2018-05-01 Ford Global Technologies, Llc System and method for coordinating V2X and standard vehicles
US9637117B1 (en) 2016-01-12 2017-05-02 Ford Global Technologies, Llc System and method for automatic activation of autonomous parking
CN105599703B (en) 2016-01-14 2017-10-24 北京汽车股份有限公司 Automobile key detection method and device
CN105588563B (en) 2016-01-15 2018-06-12 武汉光庭科技有限公司 Binocular camera and inertial navigation combined calibrating method in a kind of intelligent driving
CN105719284B (en) 2016-01-18 2018-11-06 腾讯科技(深圳)有限公司 A kind of data processing method, device and terminal
FR3046859B1 (en) 2016-01-19 2019-07-05 Valeo Comfort And Driving Assistance METHOD FOR SECURING A MANEUVER TO BE APPLIED TO A MOTOR VEHICLE
US10750322B2 (en) 2016-01-20 2020-08-18 Livio, Inc. Mobile device resident vehicle zone tracking
US10198596B2 (en) 2016-02-08 2019-02-05 Akshay Santosh Bandiwdekar Method for saving, sending and recollection of confidential user data
CN205719000U (en) 2016-04-12 2016-11-23 广东机电职业技术学院 A kind of vehicle-mounted dead reckoning system
EP3231690A1 (en) 2016-04-13 2017-10-18 Ford Global Technologies, LLC Method and device for assisting a parking manoeuvre
US9429947B1 (en) 2016-04-14 2016-08-30 Eric John Wengreen Self-driving vehicle systems and methods
KR101815599B1 (en) 2016-04-15 2018-01-30 주식회사 만도 Parking assistance device using tpms
US10279839B2 (en) 2016-04-18 2019-05-07 Ford Global Technologies, Llc Trailer backup assist remote knob state management
US10372121B2 (en) 2016-04-26 2019-08-06 Ford Global Technologies, Llc Determination of continuous user interaction and intent through measurement of force variability
US10303166B2 (en) 2016-05-23 2019-05-28 nuTonomy Inc. Supervisory control of vehicles
DK179657B1 (en) 2016-06-12 2019-03-13 Apple Inc. Devices, methods and graphical user interfaces for providing haptic feedback
DE102016211021B4 (en) 2016-06-21 2024-04-18 Robert Bosch Gmbh Method and device for securing a fully automatic movement of a vehicle
US9956910B2 (en) 2016-07-18 2018-05-01 Toyota Motor Engineering & Manufacturing North America, Inc. Audible notification systems and methods for autonomous vehicles
US10606272B2 (en) 2016-07-20 2020-03-31 Hyundai Motor Company Method for guiding parking mode in remote automatic parking support system
US10308243B2 (en) 2016-07-26 2019-06-04 Ford Global Technologies, Llc Vehicle remote park assist with occupant detection
US20180194344A1 (en) 2016-07-29 2018-07-12 Faraday&Future Inc. System and method for autonomous vehicle navigation
US10486742B2 (en) 2016-08-01 2019-11-26 Magna Electronics Inc. Parking assist system using light projections
US10252714B2 (en) 2016-08-11 2019-04-09 Toyota Motor Engineering & Manufacturing North America, Inc. Parking assistance control for vehicle with autonomous operation capability
US9811085B1 (en) 2016-08-18 2017-11-07 Allstate Insurance Company Generating and transmitting parking instructions for autonomous and non-autonomous vehicles
EP3287331B1 (en) 2016-08-25 2020-10-07 Nxp B.V. Automotive security apparatus and associated methods
US10043076B1 (en) 2016-08-29 2018-08-07 PerceptIn, Inc. Visual-inertial positional awareness for autonomous and non-autonomous tracking
US10162362B2 (en) 2016-08-29 2018-12-25 PerceptIn, Inc. Fault tolerance to provide robust tracking for autonomous positional awareness
US10453213B2 (en) 2016-08-29 2019-10-22 Trifo, Inc. Mapping optimization in autonomous and non-autonomous platforms
US10032276B1 (en) 2016-08-29 2018-07-24 PerceptIn, Inc. Visual-inertial positional awareness for autonomous and non-autonomous device
US10071730B2 (en) 2016-08-30 2018-09-11 GM Global Technology Operations LLC Vehicle parking control
US10210760B2 (en) 2016-09-21 2019-02-19 Dura Operating, Llc System and method for autonomous parking of a vehicle
KR101965829B1 (en) 2016-10-04 2019-08-13 엘지전자 주식회사 Parking Assistance Apparatus and Vehicle Having The Same
KR20180037414A (en) 2016-10-04 2018-04-12 엘지전자 주식회사 Parking Assistance Apparatus and Vehicle Having The Same
DE102016011916A1 (en) 2016-10-05 2017-06-01 Daimler Ag Method for carrying out an automatic parking operation of a motor vehicle
US10384675B2 (en) 2016-10-17 2019-08-20 GM Global Technology Operations LLC Methods and systems for remote parking assistance
US10331232B2 (en) 2016-10-27 2019-06-25 Fluidity Technologies, Inc. Controller with situational awareness display
JP6604317B2 (en) 2016-11-29 2019-11-13 トヨタ自動車株式会社 Parking assistance device
DE102016224529B4 (en) 2016-12-08 2021-05-27 Volkswagen Aktiengesellschaft Functional safeguarding of remote-controlled trailer maneuvering
TWI600321B (en) 2016-12-13 2017-09-21 財團法人工業技術研究院 Composite array camera lens module
KR102648812B1 (en) 2016-12-15 2024-03-19 현대자동차주식회사 A vehicle and method for notifying pedesrian sensing
DE102016226008A1 (en) 2016-12-22 2018-06-28 Bayerische Motoren Werke Aktiengesellschaft Remote control of a vehicle function of a motor vehicle by means of a touch gesture on the remote control
CN106598630A (en) 2016-12-30 2017-04-26 深圳天珑无线科技有限公司 Key control method and apparatus, and terminal
US10269133B2 (en) 2017-01-03 2019-04-23 Qualcomm Incorporated Capturing images of a game by an unmanned autonomous vehicle
EP3349135A1 (en) 2017-01-16 2018-07-18 DURA Automotive Holdings U.K., Ltd. Method for authorizing a driver to activate at least one system of a vehicle, based on a biometric authentication process
CN106782572B (en) 2017-01-22 2020-04-07 清华大学 Voice password authentication method and system
KR102237229B1 (en) 2017-02-20 2021-04-07 현대자동차주식회사 A vehicle and method for controlling the same
KR102287314B1 (en) 2017-03-13 2021-08-09 현대자동차주식회사 Driver assistance apparatus and mehtod for operating the same
CN106945662B (en) 2017-03-30 2019-06-04 重庆大学 A method and system for vertical automatic parking path planning
KR101994698B1 (en) * 2017-05-29 2019-07-01 엘지전자 주식회사 User interface appartus for vehicle and vehicle
US10683034B2 (en) 2017-06-06 2020-06-16 Ford Global Technologies, Llc Vehicle remote parking systems and methods
US10444761B2 (en) 2017-06-14 2019-10-15 Trifo, Inc. Monocular modes for autonomous platform guidance systems with auxiliary sensors
US11068833B2 (en) 2017-06-30 2021-07-20 Toyota Jidosha Kabushiki Kaisha Delivery security for a parked vehicle
US10192113B1 (en) 2017-07-05 2019-01-29 PerceptIn, Inc. Quadocular sensor design in autonomous platforms
US10621867B2 (en) 2017-08-23 2020-04-14 Continental Automotive Systems, Inc. Unmanned aerial vehicle assisted system for vehicle reverse and parking
US10580304B2 (en) 2017-10-02 2020-03-03 Ford Global Technologies, Llc Accelerometer-based external sound monitoring for voice controlled autonomous parking
US10627811B2 (en) 2017-11-07 2020-04-21 Ford Global Technologies, Llc Audio alerts for remote park-assist tethering

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220348218A1 (en) * 2021-05-03 2022-11-03 Nissan North America, Inc. System and method of curb management for a vehicle
US12084077B2 (en) * 2021-05-03 2024-09-10 Nissan North America, Inc. System and method of curb management for a vehicle
US20220379904A1 (en) * 2021-05-28 2022-12-01 Ford Global Technologies, Llc Method for operating a motor vehicle with a remotely controlled parking assistant
US12168446B2 (en) * 2021-05-28 2024-12-17 Ford Global Technologies, Llc Method for operating a motor vehicle with a remotely controlled parking assistant

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