WO2013114139A1 - Moveable object detection - Google Patents
Moveable object detection Download PDFInfo
- Publication number
- WO2013114139A1 WO2013114139A1 PCT/GB2013/050244 GB2013050244W WO2013114139A1 WO 2013114139 A1 WO2013114139 A1 WO 2013114139A1 GB 2013050244 W GB2013050244 W GB 2013050244W WO 2013114139 A1 WO2013114139 A1 WO 2013114139A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- detector
- location
- signal
- wireless signal
- moveable object
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
- G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
Definitions
- the disclosure relates to moveable object detection.
- a device for detecting a moveable object, as well as a system incorporating one or more such devices and corres ponding methods of moveable object detection are provided.
- the disclosure is particularly, but not exclusively, applicable to monitoring vehicles parking in a parking area.
- a similar problem applies to the driver of a vehicle, who has no information about where available parking spaces may be.
- Figure 1 is a schematic illustration of a system for monitoring vehicles in a parking area.
- Figure 2 is a schematic illustration of an antenna of a device for detecting a vehicle.
- Figure 3 is a schematic illustration of the device for detecting a vehicle, incorporating the antenna.
- Figure 4 is a schematic illustration of a radiation pattern of the antenna.
- Figure 5 is another schematic illustration of the device for detecting a vehicle, showing the exterior of the device.
- Figure 6 is a schematic illustration of a lid of the device for detecting a vehicle.
- Figure 7 is a cross-sectional view of the device for detecting a vehicle.
- Figure 8 is a schematic illustration of an antenna of a device for detecting a vehicle, according to an alternative embodiment.
- Figure 9 is a block diagram illustrating functional components of the device for detecting a vehicle.
- Figure 10 is a graphical illustration of signal strength over time during a test of a version of the device for detecting a vehicle.
- Figure 1 1 is a graphical illustration of signal strength over time during a test of a another version of the device for detecting a vehicle. Detailed Description of the Preferred Embodiments
- a system 100 for monitoring vehicles 102 parking in a parking area such as a street, neighbourhood, town or other geographical area.
- the system 100 comprises one or more devices 104 for detecting the vehicles 102.
- the vehicles 102 carry Radio-Frequency Identification RFID tags (not shown).
- An RFID reader 108 is located in the parking area for reading information carried on the RFID tags.
- the RFID reader 108 and the devices 104 communicate with a base station 106, which in turn communicates with a data centre 110.
- the devices 104 for detecting vehicles 102 each comprise a box with an antenna 200 on its lid 600.
- the antenna 200 has two elements 202, each being spirals in the plane of the lid 600, rotated 180° with respect to one another.
- This arrangement means that the antenna 200 has a radiation pattern in the form of a dipole, as shown in Figure 4, with the lobes extending normal to the plane of the lid 600.
- the antenna 200 has high gain for signals propagating perpendicular to the plane of the lid 600, but low gain for signals propagating in a direction parallel to the plane of the lid 600 or thereabouts.
- the plane of the lid 600 is parallel to a road surface, e.g. because the device 104 is positioned under the road surface, this means that the antenna 200 is sensitive to signals coming from above the road, but not to those coming from directions near the horizon.
- An antenna 800 according to another embodiment is illustrated in Figure 8.
- This antenna 800 is interchangeable with the antenna 200 of the first embodiment. It comprises first and second conductive elements 802, 804 that are concentric with one another.
- the first conductive element 802 comprises an arc extending through 180° and the second conductive element 804 is ring-shaped and encloses the first conductive element 802.
- the antenna 800 illustrated in Figure 8 has a radiation pattern in the form of a dipole, as shown in Figure 4, with the lobes extending normal to the plane of the lid 600.
- the device 104 has a detector 304 coupled to the antenna 200, as well as an indicator 300 coupled to the detector 304, and a battery 302. These elements are housed in a waterproof box.
- the detector 304 is mounted on a Printed Circuit Board (PCB) 602 on the inside of the lid 600.
- a transmitter 700 is also provided for communicating with the base station 106.
- the system 100 can use Global Positioning System (GPS) transmissions, but in the preferred embodiment, the system 100 uses terrestrial Global System for Mobile communications (GSM) signals. In other embodiments, virtually any electromagnetic wave that is attenuated by a vehicle 102, particularly a radio signal, can be used.
- GPS Global Positioning System
- GSM Global System for Mobile communications
- the major features of the system 100 are:
- the device 104 takes readily available/third party
- the device 104 is placed on the road in the centre of each parking space and it registers a vehicle 102 as soon as it stops over the antenna 200.
- the mechanism is calibrated dielectric loss that occurs when a large metal object obscures the antenna 200.
- the devices 104 are all wireless and connected to each other in a grid pattern that uses low power Wi-fi connectivity to pass the information back to a single uplink which connects to a server and software of the data centre 110.
- the devices 104 communicate with the base station
- Radio signal systems There are a number of different radio signal systems available for communicating between the devices 104, which are road mounted, and the base station (or host data collection/processing location), such as WiFi, Zigbee etc.
- Multiple base stations 106 in a network can allow long range communications whilst allowing the devices 104 to be fairly low power.
- the device 104 detects instantly whether a signal being received by a detector 304 has been covered by a vehicle 102.
- the "always on” nature of the device 104 and the instant response make the device 104 unique not only for this application but also in a number of other applications.
- the system 100 does not require positional information, as this is provided via a
- the device 104 is able to record highly accurate data on:
- the system 100 is designed to be modular, which allows other devices 104 to be added as needed. This, combined with the ultra low power requirements of the devices 14, gives immense flexibility in use and deployment.
- Sensors designed specifically to detect and monitor air quality are also included in the system 100.
- environmental sensors can be added to any of the devices 104 in the system 100, such as for detecting CO, C0 2 , N0 2 , S0 2 , other petrol emissions and particulate counters for diesel emissions. Further types of sensor can also be added, as required.
- the system 100 also includes writeable active RFID tags as "permits", which are read remotely by RFID readers 108.
- the active tags are programmable with data at the time they are issued, allowing different classes of permit to be issued (residents' permit, doctors' permit, visitors' permit, etc).
- restrictions within each class can be programmed. For example, a visitor may be restricted to parking at specific times in a parking zone.
- the RFID readers 108 have a range of between 200 and 400 metres and are capable of handling megabits of data, which is far in excess of the information flow rates that are usually needed.
- the long range of the RFID readers means relatively few need to be deployed per street. This reduces costs.
- All the component parts of the system 100 are connected to a wireless mesh network which captures data from the devices 104 and transmits it to the data centre 1 10 where it is processed and analysed.
- the Mesh network is highly resilient as it is in effect self-repairing. The nature of a mesh network means that if any single part fails connections are re-routed to the next "node” rather than lost. This gives the system 100 an exceptionally high level of resilience.
- the data centre 1 10 can provide data sets including:
- This and other data generated by the system 100 is analysed within the date centre 110 and packaged for use by drivers and Civil Enforcement Officers (CEOs) in-car, and by councils and/or car park owners.
- CEOs Civil Enforcement Officers
- the Environmental data set can include:
- a smart phone application can enable users to locate parking spaces within their vicinity.
- This App has two formats. One as a quick statement of parking available in a street found by a search function. The second is an overlay on a local map showing spaces available in an area.
- the system 100 is able to determine if a car parking space is empty, exactly when a vehicle enters the space, the duration of the stay and when it leaves. This is combined with precise information about what permissions a vehicle 102 has for that space. With this information it is possible to automate the process of "ticketing" any vehicle 102 that creates a parking offence.
- the detector 304 comprises a band pass filter 902, a Low Noise Amplifier (LNA) 904, an Analogue to Digital Converter (ADC) 906, a detection stage 908 and a power controller 910.
- LNA Low Noise Amplifier
- ADC Analogue to Digital Converter
- the band pass filter 904 is arranged to filter the radio signals received at the antenna 200, 800, to attenuate components of the received signal that are higher and lower in frequency than a wanted component of the received signal.
- the wanted component of the received signal is the downlink of a mobile telecommunications network.
- the downlink that is communication signals transmitted from the network infrastructure to the mobile devices
- the uplink that is communication signals transmitted from the mobile devices to the network infrastructure.
- a typical GSM system has a downlink in a first frequency band between 935 MHz and 960 MHz and an uplink in a second frequency band between 890 MHz and 915 MHz. So, having the band pass filter 904 attenuate radio signals outside of the first frequency band can be effective.
- the LNA 904 amplifies the signal output by the band pass filter 902. As the radio signals are liable to be received at the antenna 200, 800 with a large range of different signal strengths, the LNA 904 amplifies the signal output by the band pass filter logarithmically. This has the effect of amplifying lower strength signals be a greater amount than higher strength signals, and thereby outputting an amplified signal that has a smaller dynamic range than a signal that would be generated by liner amplification. In other embodiments, rather than using logarithmic amplification, Automatic Gain Control may be employed.
- the amplified signal output by the LNA 904 is then converted to a digital signal by the ADC 906. Specifically, the amplified signal output by the LNA is an oscillating signal having an envelope of variable amplitude and this is converted by the ADC 906 to a Direct Current (DC) level having a size proportional to that amplitude.
- DC Direct Current
- the detection stage 908 detects the DC level and transmits an indication of the strength of the radio signal being received at the antenna 200, 800 to the base station 106.
- the detection stage 908 scales the DC level to generate the indication.
- the detection stage applies antilogarithmic scaling to the DC level, so that the indication corresponds more linearly to the actual strength of the radio signal received at the antenna 200, 800, rather than the signal output by the LNA 904.
- the power controller 910 only supplies electrical power to the LNA 904, ADC 906 and detection stage 908 when they are in operation.
- the detector 304 only needs to transmit the signal strength indication to the base station intermittently for the arrival and departure of a vehicle to be detected. For example, the indication may be transmitted one every second.
- the LNA 904, ADC 906 and detection stage 908 can be turned from standby to operational, settle, and generate an accurate indication within a few milliseconds. This allows the LNA 904, ADC 906 and detection stage 908 to be in standby mode for as much as 99% of the time, greatly reducing power consumption.
- the antenna 200, 800 comprised two magnetic base car external GPS powered aerials.
- the detector 104 included customised DC748A LinearTM LT5534 60dB RSI Logarithmic amplifiers/3 dB down at 0.25HzX10 linear amplifiers.
- the 'zero' (antenna covered) signal was drifting upwards and in some cases exceeded the 2.5 maximum permitted by a data logger/Picolog USB 10 bit of the device 304.
- Thermal drift was confirmed by monitoring amplifier temperature when cooling with ice to well below ambient. A significant reduction in offset drift was achieved by cooling.
- Plot 1002 shows variation in signal strength when no vehicle 102 is detected.
- Figure 1 1 a comparison is made between an indicator generated based on a linear correspondence with the DC level generated after logarithmic amplification by the LNA 904, and an indicator generated based on an antilogarithmic correspondence with the DC level generated after logarithmic amplification by the LNA 904.
- plot 1100 is the linear indication
- plot 1 102 is the antilogarithmic indication.
- the ratio of amplitudes of the indicator when a vehicle 102 is present and when a vehicle 102 is not present averages 5.0 to 1 , and is 4.7 to 1 in the worst case, for the linear indicator (see levels A and B), but that the ratio of amplitudes of the indicator when a vehicle 102 is present and when a vehicle 102 is not present averages 469 to 1 , and is 260 to 1 in the worst case, for the antilogarithmic indicator (see levels A' and B').
- the base station processes the indicator received intermittently (e.g. periodically every second) from the detector 304 to identify the arrival or departure of a vehicle 102. This is achieved by averaging the indicators over a period of time, and identifying changes greater than a threshold from the average. In one embodiment, the base station compares the indicators received from more than one of the devices 104, particularly neighbouring devices, to identify changes that from the average that occur in the indicator received from one device but not another.
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
- Traffic Control Systems (AREA)
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1415402.5A GB2514067A (en) | 2012-02-01 | 2013-02-01 | Moveable Object Detection |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1201764.6 | 2012-02-01 | ||
| GB201201764A GB201201764D0 (en) | 2012-02-01 | 2012-02-01 | Moveable object detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2013114139A1 true WO2013114139A1 (en) | 2013-08-08 |
Family
ID=45876490
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/GB2013/050244 Ceased WO2013114139A1 (en) | 2012-02-01 | 2013-02-01 | Moveable object detection |
Country Status (2)
| Country | Link |
|---|---|
| GB (2) | GB201201764D0 (en) |
| WO (1) | WO2013114139A1 (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105427659A (en) * | 2015-11-19 | 2016-03-23 | 北京万鼎腾达科技有限责任公司 | Parking spot integrated management system |
| US9373256B2 (en) | 2014-11-06 | 2016-06-21 | Frogparking Limited | Vehicle presence detection system |
| US9694971B1 (en) | 2013-11-01 | 2017-07-04 | Claire M. Rauser | Offset laminate seam system for storage bins |
| US10008116B1 (en) | 2017-05-31 | 2018-06-26 | Frogparking Limited | Vehicle presence detection system |
| US11151874B2 (en) | 2020-01-23 | 2021-10-19 | Frogparking Limited | Vehicle flow monitoring system |
| CN113706919A (en) * | 2021-08-20 | 2021-11-26 | 云往(上海)智能科技有限公司 | Roadside parking space judgment method and intelligent parking system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5555036A (en) * | 1992-12-17 | 1996-09-10 | Trw Inc. | Passive millimeter wave traffic sensor |
| DE29618852U1 (en) * | 1996-10-29 | 1996-12-19 | Siemens AG, 80333 München | Parking guidance system |
| US20010052860A1 (en) * | 2000-06-14 | 2001-12-20 | Mcmaster Steven James | Electronic car park management system |
| EP1772838A1 (en) * | 2004-07-29 | 2007-04-11 | Mitsubishi Electric Corporation | Place status management system, radio tag reading apparatus, and management apparatus |
| WO2012004816A1 (en) * | 2010-07-05 | 2012-01-12 | Fm S.R.L. | Method an d system for determining the state of occupation o f a plurality of scheduled areas by veh icles |
-
2012
- 2012-02-01 GB GB201201764A patent/GB201201764D0/en not_active Ceased
-
2013
- 2013-02-01 WO PCT/GB2013/050244 patent/WO2013114139A1/en not_active Ceased
- 2013-02-01 GB GB1415402.5A patent/GB2514067A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5555036A (en) * | 1992-12-17 | 1996-09-10 | Trw Inc. | Passive millimeter wave traffic sensor |
| DE29618852U1 (en) * | 1996-10-29 | 1996-12-19 | Siemens AG, 80333 München | Parking guidance system |
| US20010052860A1 (en) * | 2000-06-14 | 2001-12-20 | Mcmaster Steven James | Electronic car park management system |
| EP1772838A1 (en) * | 2004-07-29 | 2007-04-11 | Mitsubishi Electric Corporation | Place status management system, radio tag reading apparatus, and management apparatus |
| WO2012004816A1 (en) * | 2010-07-05 | 2012-01-12 | Fm S.R.L. | Method an d system for determining the state of occupation o f a plurality of scheduled areas by veh icles |
Non-Patent Citations (1)
| Title |
|---|
| ANONYMOUS, ELECTRONICS, VNU BUSINESS PUBLICATIONS, NEW YORK, US, 3 February 1969 (1969-02-03), pages 182ff, XP009169926, ISSN: 0883-4989 * |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9694971B1 (en) | 2013-11-01 | 2017-07-04 | Claire M. Rauser | Offset laminate seam system for storage bins |
| US9373256B2 (en) | 2014-11-06 | 2016-06-21 | Frogparking Limited | Vehicle presence detection system |
| US9589465B2 (en) | 2014-11-06 | 2017-03-07 | Frogparking Limited | Vehicle presence detection system |
| US9704400B1 (en) | 2014-11-06 | 2017-07-11 | Frogparking Limited | Vehicle presence detection system |
| CN105427659A (en) * | 2015-11-19 | 2016-03-23 | 北京万鼎腾达科技有限责任公司 | Parking spot integrated management system |
| US11138881B2 (en) | 2017-05-31 | 2021-10-05 | Frogparking Limited | Vehicle presence detection system |
| US11610487B2 (en) | 2017-05-31 | 2023-03-21 | Frogparking Limited | Vehicle presence detection system |
| US10373493B1 (en) | 2017-05-31 | 2019-08-06 | Frogparking Limited | Vehicle presence detection system |
| US10510250B2 (en) | 2017-05-31 | 2019-12-17 | Frogparking Limited | Vehicle presence detection system |
| US10748424B2 (en) | 2017-05-31 | 2020-08-18 | Frogparking Limited | Vehicle presence detection system |
| US10008116B1 (en) | 2017-05-31 | 2018-06-26 | Frogparking Limited | Vehicle presence detection system |
| US12165512B2 (en) | 2017-05-31 | 2024-12-10 | Frogparking Limited | Vehicle presence detection system |
| US11875679B2 (en) | 2017-05-31 | 2024-01-16 | Frogparking Limited | Vehicle presence detection system |
| US11462108B2 (en) | 2017-05-31 | 2022-10-04 | Frogparking Limited | Vehicle presence detection system |
| US10096247B1 (en) | 2017-05-31 | 2018-10-09 | Frogparking Limited | Vehicle presence detection system |
| US11488475B2 (en) | 2020-01-23 | 2022-11-01 | Frogparking Limited | Vehicle flow monitoring system |
| US11798414B2 (en) | 2020-01-23 | 2023-10-24 | Frogparking Limited | Vehicle flow monitoring system |
| US11948458B2 (en) | 2020-01-23 | 2024-04-02 | Frogparking Limited | Vehicle flow monitoring system |
| US11151874B2 (en) | 2020-01-23 | 2021-10-19 | Frogparking Limited | Vehicle flow monitoring system |
| US12243424B2 (en) | 2020-01-23 | 2025-03-04 | Frogparking Limited | Vehicle flow monitoring system |
| CN113706919A (en) * | 2021-08-20 | 2021-11-26 | 云往(上海)智能科技有限公司 | Roadside parking space judgment method and intelligent parking system |
Also Published As
| Publication number | Publication date |
|---|---|
| GB201415402D0 (en) | 2014-10-15 |
| GB2514067A (en) | 2014-11-12 |
| GB201201764D0 (en) | 2012-03-14 |
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