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EP4111288A4 - Perpendicular cut-in training - Google Patents

Perpendicular cut-in training Download PDF

Info

Publication number
EP4111288A4
EP4111288A4 EP21759759.0A EP21759759A EP4111288A4 EP 4111288 A4 EP4111288 A4 EP 4111288A4 EP 21759759 A EP21759759 A EP 21759759A EP 4111288 A4 EP4111288 A4 EP 4111288A4
Authority
EP
European Patent Office
Prior art keywords
training
perpendicular cut
cut
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21759759.0A
Other languages
German (de)
French (fr)
Other versions
EP4111288A1 (en
Inventor
Michael HAGGBLADE
Benjamin Isaac MATTINSON
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zoox Inc
Original Assignee
Zoox Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/803,644 external-priority patent/US11385642B2/en
Priority claimed from US16/803,705 external-priority patent/US20210269065A1/en
Application filed by Zoox Inc filed Critical Zoox Inc
Publication of EP4111288A1 publication Critical patent/EP4111288A1/en
Publication of EP4111288A4 publication Critical patent/EP4111288A4/en
Pending legal-status Critical Current

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0015—Planning or execution of driving tasks specially adapted for safety
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W30/00—Purposes 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
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/09—Taking automatic action to avoid collision, e.g. braking and steering
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W30/00—Purposes 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
    • B60W30/18—Propelling the vehicle
    • B60W30/18009—Propelling the vehicle related to particular drive situations
    • B60W30/18154—Approaching an intersection
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W30/00—Purposes 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
    • B60W30/18—Propelling the vehicle
    • B60W30/18009—Propelling the vehicle related to particular drive situations
    • B60W30/18159—Traversing an intersection
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/404—Characteristics
    • B60W2554/4045—Intention, e.g. lane change or imminent movement

Landscapes

  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
  • Regulating Braking Force (AREA)
  • Radar Systems Or Details Thereof (AREA)
EP21759759.0A 2020-02-27 2021-02-17 Perpendicular cut-in training Pending EP4111288A4 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/803,644 US11385642B2 (en) 2020-02-27 2020-02-27 Perpendicular cut-in training
US16/803,705 US20210269065A1 (en) 2020-02-27 2020-02-27 Perpendicular cut-in detection
PCT/US2021/018341 WO2021173395A1 (en) 2020-02-27 2021-02-17 Perpendicular cut-in training

Publications (2)

Publication Number Publication Date
EP4111288A1 EP4111288A1 (en) 2023-01-04
EP4111288A4 true EP4111288A4 (en) 2024-03-20

Family

ID=77491425

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21759759.0A Pending EP4111288A4 (en) 2020-02-27 2021-02-17 Perpendicular cut-in training

Country Status (4)

Country Link
EP (1) EP4111288A4 (en)
JP (1) JP7662656B2 (en)
CN (1) CN115190987A (en)
WO (1) WO2021173395A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4653280A1 (en) * 2024-05-23 2025-11-26 Volvo Car Corporation Method for determining a likelihood that a target vehicle is planning to perform a u-turn, method for controlling an egovehicle, method for controlling an observer vehicle, data processing apparatus, computer program, computer-readable storage medium, and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190283740A1 (en) * 2018-03-15 2019-09-19 Honda Motor Co., Ltd. Vehicle control device, vehicle control method, and storage medium
US20190382007A1 (en) * 2018-06-15 2019-12-19 Uber Technologies, Inc. Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving
DE102018005261A1 (en) * 2018-07-02 2020-01-02 Daimler Ag Method and assistance system for operating an autonomous driving operation and vehicle

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017224075A (en) * 2016-06-14 2017-12-21 富士通テン株式会社 Device, method and system for supporting take-out of vehicle
EP3566106B1 (en) * 2017-03-20 2024-03-06 Mobileye Vision Technologies Ltd. Trajectory selection for an autonomous vehicle
US20190113920A1 (en) * 2017-10-18 2019-04-18 Luminar Technologies, Inc. Controlling an autonomous vehicle using model predictive control
DE112019000070T5 (en) * 2018-01-07 2020-03-12 Nvidia Corporation GUIDING VEHICLES BY VEHICLE MANEUVER USING MODELS FOR MACHINE LEARNING
JP7206048B2 (en) * 2018-03-05 2023-01-17 日産自動車株式会社 Driving characteristic estimation method and driving characteristic estimation device
JP7030573B2 (en) * 2018-03-15 2022-03-07 本田技研工業株式会社 Vehicle control devices, vehicle control methods, and programs
JP7295234B2 (en) * 2018-07-17 2023-06-20 エヌビディア コーポレーション Regression-Based Line Segment Detection for Autonomous Machines

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190283740A1 (en) * 2018-03-15 2019-09-19 Honda Motor Co., Ltd. Vehicle control device, vehicle control method, and storage medium
US20190382007A1 (en) * 2018-06-15 2019-12-19 Uber Technologies, Inc. Multi-Task Machine-Learned Models for Object Intention Determination in Autonomous Driving
DE102018005261A1 (en) * 2018-07-02 2020-01-02 Daimler Ag Method and assistance system for operating an autonomous driving operation and vehicle

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of WO2021173395A1 *

Also Published As

Publication number Publication date
JP2023514870A (en) 2023-04-11
CN115190987A (en) 2022-10-14
WO2021173395A1 (en) 2021-09-02
JP7662656B2 (en) 2025-04-15
EP4111288A1 (en) 2023-01-04

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