WO2020107306A1 - Système de collecte intelligent d'informations de véhicule franchissant un feu rouge et procédé associé - Google Patents

Système de collecte intelligent d'informations de véhicule franchissant un feu rouge et procédé associé Download PDF

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Publication number
WO2020107306A1
WO2020107306A1 PCT/CN2018/118095 CN2018118095W WO2020107306A1 WO 2020107306 A1 WO2020107306 A1 WO 2020107306A1 CN 2018118095 W CN2018118095 W CN 2018118095W WO 2020107306 A1 WO2020107306 A1 WO 2020107306A1
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WO
WIPO (PCT)
Prior art keywords
image
lane
vehicle
detection device
signal light
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Application number
PCT/CN2018/118095
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English (en)
Chinese (zh)
Inventor
高峡
高月仁
谷明静
耿华
吕晓栓
李罡
杨海涛
康海凤
李海新
成景坤
史守帆
祁志雷
马桂泽
王鹏
Original Assignee
唐山曹妃甸联城科技有限公司
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Application filed by 唐山曹妃甸联城科技有限公司 filed Critical 唐山曹妃甸联城科技有限公司
Priority to PCT/CN2018/118095 priority Critical patent/WO2020107306A1/fr
Publication of WO2020107306A1 publication Critical patent/WO2020107306A1/fr

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles

Definitions

  • the invention relates to the field of traffic supervision, and in particular to a method for intelligently collecting vehicle information through red lights.
  • the present invention provides a method for intelligently collecting information on vehicles running through red lights, using pre-stored image templates of emergency passing vehicles and image matching technology to remove the interference of vehicles passing through vehicles passing through red lights in emergency, and detecting the current red light in real time.
  • the parallel image processing technology is used to abandon the violation detection of the green light lane, and only information collection is carried out on the illegal vehicles in the red light lane, which makes the information collection of the red light vehicle of the present invention more targeted.
  • an intelligent red light vehicle information collection system for collecting red light vehicle information at intersections corresponding to signal lights
  • the collection system includes an induction coil set, a signal light state detection device, an image detection device, and DSP processing
  • the induction coil set is used to sense whether a vehicle passing through the traffic lane corresponding to the signal light is detected
  • the signal light state detection device is used to detect the current state of the signal light
  • the DSP processor is based on the induction result and the position of the induction coil set The detection result of the signal light state detection device, and controlling the image acquisition and image processing operations of the image detection device to obtain the information of the vehicle running through the red light
  • the invention also provides a method for intelligently collecting information on vehicles running through red lights. More specifically, in the intelligently collecting information system on vehicles running through red lights, it further includes: a set of oscillation circuits, including a plurality of oscillation circuits, the number of oscillation circuits and signal lights The number of lanes at the corresponding intersection is the same. Multiple oscillation circuits correspond to multiple induction coils in the induction coil set. Each oscillation circuit is connected to the corresponding induction coil. When a vehicle passes a predetermined distance in front of the parking line of the lane where the corresponding induction coil is located, The mutual induction between the corresponding induction coil and the vehicle body causes the oscillation frequency of the oscillation circuit to change.
  • the frequency detection circuit is connected to a plurality of oscillation circuits of the oscillation circuit set, Detect whether the oscillation frequency of each oscillating circuit has changed, and send out the lane number of the induction coil corresponding to the oscillating circuit whose oscillation frequency has changed, the number sequence of the lane number is from left to right;
  • the storage device use
  • two emergency passing vehicle image templates are stored in advance, the emergency passing vehicle image template is an image pre-photographed for a reference emergency passing vehicle, the reference emergency passing vehicle is a reference ambulance or a reference fire truck, and the storage device is also in advance
  • the upper limit gray threshold of the lane reference line, the lower limit gray threshold of the lane reference line, the upper limit gray threshold of the vehicle, and the lower limit gray threshold of the vehicle are stored.
  • the upper limit gray threshold of the lane reference line and the lower limit gray threshold of the lane reference line are used To separate the lane reference line and the background in the image, the upper vehicle grayscale threshold and the lower vehicle grayscale threshold are used to separate the vehicle from the background in the image;
  • the wireless communication device is used to receive one or more red lights Vehicle information and send the one or more red light vehicle information to the server of the local traffic management platform through a wireless communication link, so that the server's hard disk stores the one or more red light vehicle information;
  • the induction coil set Including multiple induction coils, the number of induction coils is the same as the number of lanes corresponding to the intersection of signal lights, multiple induction coils correspond to multiple lanes one by one, each induction coil is buried under a predetermined distance in front of the parking lane of the corresponding lane;
  • the signal light state detection device is respectively connected to a plurality of signal light units of the signal light, the number of the signal light units is the same as the number of lanes of the corresponding intersection of
  • the image detection device It includes an image acquisition unit, a vehicle type recognition unit, a wavelet filter unit, a grayscale processing unit, an image segmentation unit, and multiple parallel image processing units.
  • the number of parallel image processing units is the same as the number of lanes at the intersection corresponding to the signal light. Multiple parallel images
  • the serial number of the processing unit corresponds one-to-one with multiple lanes.
  • the image acquisition unit is connected to the DSP processor and is used to capture an image of the intersection at a predetermined distance in front of the corresponding intersection of the signal light when the same lane number is received.
  • the wavelet filter unit is The image acquisition unit is connected to perform wavelet filtering processing on the intersection image based on a Haar wavelet filter to obtain a filtered image
  • the vehicle type identification unit is connected to the wavelet filter unit and the storage device, Match the vehicle pattern in the filtered image with the two emergency passing vehicle image templates one by one.
  • the processing unit is connected to the vehicle type identification unit, and when the non-emergency passing vehicle signal is received, the filtered image is gray-scaled to obtain a gray-scale image.
  • the image segmentation unit and the gray-scale processing The unit, the wavelet filtering unit and the storage device are respectively connected to identify pixels in the grayscale image between the upper grayscale threshold of the lane reference line and the lower grayscale threshold of the lane reference line And form multiple lane reference line sub-images, and divide the filtered image into multiple lane filter sub-images based on the positions of the multiple lane reference line sub-images in the grayscale image, the number of the lane filter sub-images The number of lanes corresponding to the intersection of the signal light is the same, multiple lane filter sub-images correspond to multiple lanes, and each parallel image processing unit is connected to the image segmentation unit, the storage device, and the DSP processor, each The parallel image processing unit exits the power saving mode to start parallel image processing when the corresponding lane number exists in the received same lane number, and enters the power saving mode when the corresponding lane number does not exist in the received same lane number Mode, the parallel image processing includes receiving a lane filtering sub-image corresponding to
  • the image collection unit includes a CMOS vision sensor.
  • the image collection unit further includes a lens and a filter, the filter is located in front of the lens, and the lens is located in front of the CMOS vision sensor.
  • the CMOS vision sensor is a high-definition vision sensor, and the resolution adopted is 1920 ⁇ 1080.
  • the collection system further includes a brightness detection device for detecting the ambient brightness of the surrounding environment of the collection system; an auxiliary lighting source is located on the image detection device. Above the image acquisition unit, it is connected to the brightness detection device, and determines whether to provide auxiliary lighting for shooting of the image acquisition unit based on the ambient brightness.
  • FIG. 1 is a structural block diagram of a red light traffic information intelligent collection system according to an embodiment of the present invention.
  • FIG. 2 is a block diagram showing the structure of an image detection device for a red light traffic information intelligent collection system according to an embodiment of the present invention.
  • Red light running refers to the behavior of a motor vehicle crossing a stop line and continuing to drive in violation of the red light no-traffic regulations at signal-controlled intersections and sections.
  • intersection is a meeting point and a conflict point of traffic flow. Running a red light increases the insecurity of the meeting point and the conflict point itself, resulting in a decrease in the safety factor;
  • Running a red light affects the safe passing performance of vehicles, and also reduces the ability of other traffic participants to respond to and respond to strains;
  • the existing red light vehicle information collection system cannot remove the interference caused by emergency vehicles, the system redundancy is too high, and the work efficiency is average.
  • the present invention builds an intelligent information collection system for vehicles running through red lights.
  • the collection system is built on the crossbar where the signal lights are located and is used to collect information about vehicles running through red lights corresponding to the intersections of the signal lights.
  • Multiple image processing technologies such as filtering, image graying processing and image segmentation complete the collection of vehicle information of running red lights efficiently and reasonably, and the structure of the entire collection system is more compact.
  • FIG. 1 is a structural block diagram of an intelligent collection system for red light traffic vehicles according to an embodiment of the present invention.
  • the collection system is disposed on a crossbar where a signal light is located, and is used to collect information about a red light traffic vehicle at an intersection corresponding to the signal lights.
  • the signal light state detection device 4, the image detection device 5, the storage device 6, and the wireless communication device 7 are respectively connected, and the oscillation circuit set 2 is connected to the frequency detection circuit 1 and the induction coil set 3, respectively.
  • the induction coil set 3 is used to sense whether a vehicle passing through the lane corresponding to the signal light is detected
  • the signal light state detection device 4 is used to detect the current state of the signal light
  • the DSP processor 8 is based on the induction coil set 3
  • the sensing result and the detection result of the signal light state detection device 4 control the image acquisition and image processing operations of the image detection device 5 to obtain the red light vehicle information.
  • the oscillating circuit set 2 includes a plurality of oscillating circuits, the number of oscillating circuits is the same as the number of lanes corresponding to the intersections of the signal lights, the oscillating circuits correspond one-to-one with the plurality of induction coils in the induction coil set 3, and each oscillating circuit is connected Induction coil, when a vehicle passes a predetermined distance in front of the parking line where the corresponding induction coil is located, the corresponding induction coil and the vehicle body have a mutual inductance, causing the oscillation frequency of the oscillation circuit to change. Conversely, when no vehicle passes, the oscillation frequency of the oscillation circuit remains constant.
  • the frequency detection circuit 1 is connected to a plurality of oscillation circuits of the oscillation circuit set 2 respectively, detects whether the oscillation frequency of each oscillation circuit has changed, and sends out the lane number of the induction coil corresponding to the oscillation circuit whose oscillation frequency has changed, The numbering sequence of the lane numbers is from left to right.
  • the storage device 6 is used to pre-store two emergency passing vehicle image templates, the emergency passing vehicle image template being an image pre-photographed for a reference emergency passing vehicle, the reference emergency passing vehicle being a reference ambulance or a reference fire truck, the The storage device 6 also pre-stores the lane reference line upper limit gray threshold, the lane reference line lower limit gray threshold, the vehicle upper limit gray threshold and the vehicle lower limit gray threshold, the lane reference line upper limit gray threshold and the lane reference line
  • the lower limit grayscale threshold is used to separate the lane reference line and the background in the image
  • the upper vehicle grayscale threshold and the lower vehicle grayscale threshold are used to separate the vehicle and the background in the image.
  • the wireless communication device 7 is used to receive one or more red light vehicle information and send the one or more red light vehicle information to a server of a local traffic management platform through a wireless communication link, so that the hard disk of the server stores the one Or multiple vehicles running through red lights.
  • the induction coil set 3 includes a plurality of induction coils.
  • the number of induction coils is the same as the number of lanes corresponding to the intersections of the signal lights.
  • the plurality of induction coils correspond to the plurality of lanes one by one.
  • Each induction coil is buried in front of the parking lane of the corresponding lane. Below the distance.
  • the signal light state detection device 4 is respectively connected to a plurality of signal light units of the signal light.
  • the number of the signal light units is the same as the number of lanes of the corresponding intersection of the signal light.
  • the plurality of signal light units correspond to the plurality of lanes.
  • the signal light state detection device 4 is based on Whether the plurality of signal light units are currently red lights outputs the lane number of the lane corresponding to the signal light unit currently being red lights.
  • the DSP processor 8 is connected to the frequency detection circuit 1, the signal light state detection device 4, the image detection device 5, and the wireless communication device 7 respectively, looking for the frequency detection circuit 1 and the signal light state
  • the lane numbers with the same value output by the detection devices 4 are sent to the image detection device 5 as the same lane numbers.
  • the DSP processor 8 also receives one or more red light vehicle information output by the image detection device 5 and sends The one or more red light vehicle information is forwarded to the wireless communication device 7.
  • the image detection device 5 includes an image acquisition unit 51, a vehicle type recognition unit 53, a wavelet filter unit 52, a gradation processing unit 54, an image segmentation unit 56, and a plurality of parallel image processing units 55.
  • Multiple parallel image processing units 55 have serial numbers corresponding to multiple lanes.
  • the image acquisition unit 51 is connected to the DSP processor, and is used to take an image of a junction at a predetermined distance in front of the intersection corresponding to the signal light when the same lane number is received, and the wavelet filter unit 52 is The image acquisition unit 51 is connected to perform wavelet filtering processing on the intersection image based on a Haar wavelet filter to obtain a filtered image, the vehicle type recognition unit 53 and the wavelet filter unit 52 and the storage device Connect respectively, and match the vehicle pattern in the filtered image with the two emergency passing vehicle image templates one by one. When there is a matching emergency passing vehicle image template, the emergency passing vehicle signal is output; otherwise, the non-emergency passing vehicle signal is output.
  • the grayscale processing unit 54 is connected to the vehicle type identification unit 53, and when the non-emergency passing vehicle signal is received, the filtered image is grayscaled to obtain a grayscale image, and the image segmentation unit 56 is The gradation processing unit 54, the wavelet filtering unit 52 and the storage device are respectively connected to connect the gradation value in the gradation image to the upper limit gradation threshold of the lane reference line and the lower limit of the lane reference line.
  • the pixels between the gray thresholds identify and compose multiple lane reference line sub-images, and divide the filtered image into multiple lane filter sub-images based on the positions of the multiple lane reference line sub-images in the gray-scale image,
  • the number of the lane filtering sub-images is the same as the number of lanes corresponding to the intersections of the signal lights, and the multiple lane filtering sub-images correspond to the multiple lanes one-to-one.
  • Each parallel image processing unit 55 is connected to the image segmentation unit 56, the storage device, and the DSP processor.
  • each parallel image processing unit 55 receives the corresponding lane number in the same lane number, Exit the power saving mode to start parallel image processing, and enter the power saving mode when the corresponding lane number does not exist in the same lane number received.
  • the parallel image processing includes receiving the lane filtering sub-image of the corresponding lane, which will be received.
  • the pixels in the lane filter sub-image whose gray value is between the upper gray threshold of the vehicle and the lower gray threshold of the vehicle identify and form a vehicle sub-image, identify the license plate information in the vehicle sub-image, and will correspond
  • the lane number of the lane and the recognized license plate information are combined and output as the red light vehicle information.
  • the wireless communication link is one of GPRS mobile communication link, 3G mobile communication link or 4G mobile communication link.
  • the image acquisition unit 51 may include a CMOS vision sensor, and the image acquisition unit 51 may further include a lens and a filter.
  • the filter is located in front of the lens, and the lens is located in front of the CMOS vision sensor.
  • the CMOS vision sensor is a high-definition vision sensor with a resolution of 1920 ⁇ 1080;
  • the collection system may further include a brightness detection device for detecting the ambient brightness of the surrounding environment of the collection system, including an auxiliary lighting source, located at the Above the image acquisition unit 51 of the image detection device 5, it is connected to the brightness detection device, and determines whether to provide auxiliary lighting for shooting of the image acquisition unit 51 based on the ambient brightness.
  • CMOS Complementary Metal-Oxide-Semiconductor
  • Chinese name is complementary metal oxide semiconductor
  • CMOS Complementary Metal-Oxide-Semiconductor
  • N charge-charged
  • P charged + charge
  • CMOS image sensors are designed for 5V and 3.3V supply voltages.
  • the CCD chip requires a power supply voltage of about 12V, so a voltage converter has to be used, resulting in increased power consumption.
  • the integration of control and system functions into the CMOS sensor will bring another benefit: he removes all external connections to other semiconductor components. Its high-power drivers are now deprecated, because the energy consumed for communication inside the chip is much lower than the external implementation through the PCB or substrate.
  • CMOS sensors can also be subdivided into passive pixel sensors (Passive Pixel Sensor CMOS) and active pixel sensors (Active Pixel Sensor CMOS).
  • Passive Pixel Sensor CMOS Passive Pixel Sensor CMOS
  • Active Pixel Sensor CMOS Active Pixel Sensor CMOS
  • Passive pixel sensor also called passive pixel sensor, is composed of a reverse-biased photodiode and a switch tube.
  • the photodiode is essentially a PN junction composed of a P-type semiconductor and an N-type semiconductor. It can be equivalent to a reverse biased diode and a MOS capacitor in parallel.
  • the switch tube When the switch tube is turned on, the photodiode is connected to the vertical column line (Column bus).
  • the charge integration amplifier at the end of the column line maintains the column line voltage at a constant value.
  • the signal charge stored in the photodiode is read out, its voltage is reset to the column line voltage level, and at the same time The charge proportional to the optical signal is converted into a charge output by the charge integration amplifier.
  • Active pixel sensor Active Pixel Sensor, APS for short
  • CMOS PPS pixel structure Almost at the same time that the CMOS PPS pixel structure was invented, people quickly realized that introducing a buffer or amplifier into the pixel can improve the performance of the pixel.
  • each pixel has its own amplifier.
  • the amplifying transistor integrated on the surface reduces the effective surface area of the pixel element and reduces the "packing density", so that 40% to 50% of incident light is reflected.
  • Another problem with this type of sensor is how to better match the multi-channel amplifiers of the sensor, which can be better achieved by reducing the residual pattern of fixed pattern noise. Since each amplifier in the CMOS APS pixel is only activated during this readout, the power consumption of the CMOS APS is smaller than that of the CCD image sensor.
  • red light vehicle information collection system of the present invention By adopting the intelligent red light vehicle information collection system of the present invention, in view of the technical problems that the existing red light vehicle information collection system may erroneously collect and the system is not compact, through a series of image processing, emergency traffic vehicles such as ambulances that allow temporary red light traffic to pass are avoided Vehicles and fire engines were collected by mistake. At the same time, vehicle information was collected only for the red light channel, which improved the reliability and intelligence of the system.

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un système de collecte intelligent des informations d'un véhicule qui franchit un feu rouge et un procédé associé, qui sont utilisés pour collecter des informations d'un véhicule qui franchit un feu rouge au niveau d'une intersection correspondant à un feu de signalisation; le système de collecte comprend un ensemble de bobines d'induction (3), un dispositif de détection d'état de feu de signalisation (4), un dispositif de détection d'image (5) et un processeur DSP (8); l'ensemble de bobines d'induction (3) est utilisé pour détecter si un véhicule traverse une voie d'une intersection qui correspond à un feu de signalisation; le dispositif de détection d'état de feu de signalisation (4) est utilisé pour détecter l'état actuel du feu de signalisation; selon le résultat de détection de l'ensemble de bobines d'induction (3) et le résultat de détection du dispositif de détection d'état de feu de signalisation (4), le processeur DSP (8) commande des opérations de collecte d'image et de traitement d'image du dispositif de détection d'image (5) de façon à obtenir des informations d'un véhicule en train de franchir un feu rouge. Le système de collecte et le procédé associé comprennent en outre l'utilisation d'un système pour la collecte.
PCT/CN2018/118095 2018-11-29 2018-11-29 Système de collecte intelligent d'informations de véhicule franchissant un feu rouge et procédé associé WO2020107306A1 (fr)

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Citations (6)

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Publication number Priority date Publication date Assignee Title
US20040051651A1 (en) * 2002-09-12 2004-03-18 Greg Carter Traffic light signal monitoring system
CN204155450U (zh) * 2014-11-17 2015-02-11 深圳市林润实业有限公司 一种道路上高清卡口装置
CN104504896A (zh) * 2014-08-15 2015-04-08 上海市政工程设计研究总院（集团）有限公司 一种交通违法自动记录系统及方法
CN104637309A (zh) * 2015-03-08 2015-05-20 无锡桑尼安科技有限公司 闯红灯车辆信息智能化采集系统
CN104700628A (zh) * 2013-12-10 2015-06-10 感知技术无锡有限公司 车辆检测方法、装置及系统
CN204423636U (zh) * 2015-03-08 2015-06-24 无锡桑尼安科技有限公司 抢行左侧车道的车辆违章行为检测系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040051651A1 (en) * 2002-09-12 2004-03-18 Greg Carter Traffic light signal monitoring system
CN104700628A (zh) * 2013-12-10 2015-06-10 感知技术无锡有限公司 车辆检测方法、装置及系统
CN104504896A (zh) * 2014-08-15 2015-04-08 上海市政工程设计研究总院（集团）有限公司 一种交通违法自动记录系统及方法
CN204155450U (zh) * 2014-11-17 2015-02-11 深圳市林润实业有限公司 一种道路上高清卡口装置
CN104637309A (zh) * 2015-03-08 2015-05-20 无锡桑尼安科技有限公司 闯红灯车辆信息智能化采集系统
CN204423636U (zh) * 2015-03-08 2015-06-24 无锡桑尼安科技有限公司 抢行左侧车道的车辆违章行为检测系统

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