WO2023116000A1 - Etc系统的防盗刷方法及etc系统 - Google Patents

Etc系统的防盗刷方法及etc系统 Download PDF

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Publication number
WO2023116000A1
WO2023116000A1 PCT/CN2022/113607 CN2022113607W WO2023116000A1 WO 2023116000 A1 WO2023116000 A1 WO 2023116000A1 CN 2022113607 W CN2022113607 W CN 2022113607W WO 2023116000 A1 WO2023116000 A1 WO 2023116000A1
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vehicle
information
attribute
etc system
railing
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French (fr)
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费志军
邱雪涛
高鹏飞
杨燕明
徐智劼
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China Unionpay Co Ltd
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China Unionpay Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

Definitions

  • the invention relates to the ETC technology, in particular to an anti-theft swiping method of the ETC system and the ETC system.
  • the ETC system (ElectronicTollCollection) is used to realize the non-stop charging of vehicles. Its principle is: the ETC system realizes non-stop through wireless communication and information exchange between the on-board unit system installed on the vehicle and the roadside unit system installed on the toll station lane. TOLL.
  • FIG. 1 is a schematic diagram showing a vehicle passing through a conventional ETC system.
  • the present invention aims to provide an anti-theft swiping method and an ETC system of an ETC system capable of timely warning illegally intruded vehicles.
  • the anti-theft brushing method of the ETC system on the one hand of the present invention is characterized in that, comprises:
  • the information acquisition step is to acquire the identification information and location information of the vehicle from the vehicle;
  • the information retrieval step is to retrieve the attribute information of the vehicle according to the identification information of the vehicle, wherein the correspondence between the identification information of the vehicle and the attribute information is pre-stored;
  • the attribute identification step is to trigger the acquisition of the image information of the vehicle when the vehicle passes through the specified detection area, and obtain the attribute information of the vehicle according to the image information identification;
  • Information matching step judging whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified by the attribute identification step, and proceeding to the following fraudulent brushing alarm step when it is judged that the two do not match, In the case of judging that the two match, continue the following vehicle release steps;
  • Stealing brushes warning step sending out the warning indicating that there is a risk of stealing brushes
  • the passage railing of the ETC system is controlled to be lifted to release the vehicle.
  • the attribute information includes vehicle color information and vehicle model information.
  • the preceding vehicle judging step is judging whether there is already a vehicle in the predetermined detection area and whether the traffic railing of the ETC system is in a lowered state or a raised state.
  • the attribute identifying step is continued.
  • the attribute identification step includes:
  • the attribute identifying step further includes: further identifying the vehicle position according to the image information,
  • the information matching step further includes: judging whether the vehicle position identified according to the image information in the attribute identifying step is consistent with the position information acquired in the information acquiring step, and continuing to Judging whether the attribute information of the vehicle retrieved in the information retrieval step matches the attribute information of the vehicle identified in the attribute identification step.
  • identifying and obtaining the attribute information of the vehicle according to the image information is realized through a deep learning algorithm.
  • the identification of the vehicle position according to the image information is realized through a YOLO model or a FasterRCNN model.
  • the specified detection area is an area of a specified size located in front of the passage railing.
  • the lane camera is used to obtain the image information of the vehicle when it is triggered when the vehicle passes through the specified detection area;
  • the vehicle attribute detection module is used to identify the image information to obtain the attribute information of the vehicle;
  • the road end controller is used to obtain the vehicle attribute information from the
  • the vehicle acquires the identification information and location information of the vehicle and retrieves the attribute information of the corresponding vehicle according to the identification information, matches the attribute information identified by the vehicle attribute detection module with the attribute information of the corresponding vehicle obtained by the retrieval, If the two match, send a railing control command for lifting the railing to the following railing controller, and send an alarm command to the following alarm device if the two do not match;
  • a railing controller configured to control the rise and fall of the passing railing according to the railing control instruction from the roadside controller
  • the alarm device is used for issuing an alarm according to an alarm instruction from the roadside controller.
  • the vehicle attribute detection module is also used to identify the image information to obtain the vehicle position,
  • the roadside controller is also used to judge whether the vehicle position identified by the vehicle attribute detection module is consistent with the vehicle position information obtained from the vehicle.
  • the railing controller is further configured to send railing status information indicating whether the traffic railing is down to the vehicle-mounted controller.
  • the roadside controller when the roadside controller judges that the vehicle has not passed through the specified detection area according to the vehicle position, it triggers the lane camera to acquire the image information of the vehicle and compares the acquired image information with the vehicle attribute.
  • the attribute information of the vehicle identified by the detection module is matched with the retrieved attribute information of the corresponding vehicle, and when the two do not match and the railing status information from the railing controller indicates that the traffic railing has fallen, the alarm device is sent Alert command.
  • the identification of the attribute information of the vehicle by the vehicle attribute detection module based on the image information is realized by a deep learning method.
  • the vehicle attribute detection module recognizes the vehicle position according to the image information through a YOLO model or a FasterRCNN model.
  • the specified detection area is an area of a specified size located in front of the passage railing.
  • the attribute information includes vehicle color information and vehicle model information.
  • the vehicle-mounted unit system of the ETC system of the present invention is characterized in that, comprises:
  • a positioning module is used to obtain the position information of the vehicle
  • the vehicle-mounted controller is used to communicate with the roadside unit system of the ETC system, and is used to send the identification information of the vehicle and the position information obtained by the positioning module to the roadside unit system;
  • the ETC fee deduction function module is used to execute the fee deduction action.
  • the positioning module adopts a Beidou high-precision positioning chip.
  • the computer-readable medium in one aspect of the present invention has a computer program stored thereon, and is characterized in that, when the computer program is executed by a processor, the method for anti-theft brushing of the ETC system is implemented.
  • a computer device in one aspect of the present invention includes a storage module, a processor, and a computer program stored on the storage module and operable on the processor, wherein the processor implements the ETC when executing the computer program System anti-theft brushing method.
  • the anti-theft swiping method of the ETC system and the ETC system of the present invention by adding a roadside controller and a vehicle detection module to the ETC roadside unit, it is possible to effectively identify illegally intruding vehicles at the ETC bayonet, and give an alarm to illegal intrusion behaviors in time.
  • a Beidou high-precision positioning chip to the ETC vehicle unit, it is possible to accurately measure the position between the vehicle and the automatic railing, thereby accurately controlling the timing of lifting the automatic railing, and effectively preventing illegal intrusion vehicles from passing through the ETC bayonet.
  • FIG. 1 is a schematic diagram showing a vehicle passing through a conventional ETC system.
  • Fig. 2 is a schematic flow chart of the anti-theft brushing method of the ETC system of the present invention.
  • Fig. 3 is a block diagram showing the configuration of an ETC system according to an embodiment of the present invention.
  • Fig. 4 is a signal trend diagram showing the specific flow of the anti-theft brushing method implemented by the ETC system of the embodiment of the present invention.
  • Words such as “have” and “comprising” indicate that in addition to the units (modules) and steps that are directly and explicitly stated in the specification and claims, the technical solution of the present invention does not exclude Situations of other units (modules) and steps described.
  • Fig. 2 is a schematic flow chart of the anti-theft brushing method of the ETC system of the present invention.
  • the anti-theft brushing method of ETC system of the present invention comprises the following steps:
  • Information obtaining step S100 obtaining identification information and location information of the vehicle from the vehicle;
  • Information retrieval step S200 retrieve attribute information of the vehicle (such as vehicle color information and model information) according to the identification information acquired in the information acquisition step, wherein the correspondence between the vehicle identification information and attribute information is pre-stored relation;
  • Attribute identification step S300 when the vehicle passes through the specified detection area, trigger the acquisition of the image information of the vehicle and the monitoring of the vehicle position, and identify the attribute information of the vehicle according to the image information;
  • Information matching step S400 judging whether the attribute information obtained in the information retrieval step S200 matches the attribute information identified in the attribute identifying step S300, and if it is determined that the two do not match, continue to the following fraudulent brushing alarm step S500, Continue to the following vehicle release step S600 when it is judged that the two match; and
  • Fraudulent fraudulent warning step S500 when it is judged that the two do not match in the information matching step, an alarm indicating that there is a risk of fraudulent fraudulent fraud is issued;
  • Vehicle release step S600 if it is determined in the information matching step S400 that the two match, control the passage railing of the ETC system to lift up to release the vehicle.
  • the attribute information includes vehicle color information and vehicle model information.
  • the preceding vehicle judging step judges whether there is a vehicle and whether the traffic railing of the ETC system is in a falling state in the prescribed detection area.
  • step S500 of alerting fraudulent brushes is skipped.
  • the attribute recognition step is continued.
  • the attribute identifying step S300 is continued.
  • the attribute identification step S300 includes:
  • the attribute information of the vehicle is identified according to the image information.
  • the attribute identification step further includes:
  • step 1 further include:
  • identifying and obtaining the attribute information of the vehicle according to the image information is realized through a deep learning method.
  • the recognition of the position of the vehicle according to the image information is realized through the YOLO model or the FasterRCNN model.
  • the predetermined detection area is an area of a predetermined size located in front of the traffic railing.
  • Fig. 3 is a block diagram showing the configuration of an ETC system according to an embodiment of the present invention.
  • an ETC system includes: an onboard unit system 100 and a roadside unit system 200 .
  • the vehicle unit system 100 includes: a vehicle terminal controller 110 , a positioning module 120 and an ETC deduction function module 130 .
  • the roadside unit system 200 includes: a roadside controller 210, a vehicle attribute detection module 220, a lane camera 230, a railing controller 240 and an alarm device 250.
  • the vehicle-mounted controller 110 After the vehicle enters the ETC bayonet, the vehicle-mounted controller 110 uploads the vehicle ID to the road-side controller 210, and the vehicle-mounted controller 110 controls the positioning module 120 to obtain the location information of the vehicle.
  • the vehicle-mounted controller 110 and the roadside controller 210 Real-time sharing of vehicle location information;
  • the road end controller 210 retrieves the vehicle attributes (such as information such as vehicle color, vehicle type) of the corresponding vehicle in the database according to the uploaded vehicle ID;
  • the road end controller 210 controls the lane camera 230 and the vehicle attribute detection module 220 to monitor the position of the vehicle. If there is no vehicle in front of the traffic railing, it waits for a normal driving vehicle to enter the detection area. If the passing railing falls and there is a stalled vehicle in the detection area before the passing railing, but according to the position information reported by the normal driving vehicle, it can be known that it has not entered the detection area, then the vehicle is an illegal intrusion vehicle, and the alarm device 250 will report to the police , on the other hand, if the passing railing is raised and there is a vehicle stopped in front of the passing railing, then the vehicle is the last vehicle that has not driven out;
  • control the lane camera 230 and the vehicle attribute detection module 220 to identify the attribute information (such as vehicle type, color, etc.) of the vehicle, and compare it with the attribute information of the vehicle retrieved in the database Matching is carried out, if the matching is successful, the subsequent deduction process will be normally completed, if the matching is unsuccessful, then the vehicle is an illegal intrusion vehicle, and the alarm device 250 will give an alarm.
  • attribute information such as vehicle type, color, etc.
  • the positioning module 120 adopts a Beidou high-precision positioning chip to obtain the position information of the vehicle.
  • the vehicle-end controller 110 is used to communicate with the road-end controller 210 , and send the identification information (such as vehicle ID) and location information of the vehicle to the road-end controller 210 .
  • the ETC deduction function module 130 is configured to perform deduction according to the deduction instruction.
  • the lane camera 230 is used to capture and capture the specified detection area and obtain the image information of the vehicle
  • the vehicle attribute detection module 220 is used to identify the attribute information of the vehicle and the vehicle attribute information according to the image information of the vehicle acquired by the lane camera 230.
  • the railing controller 240 is used for sending the railing state information of whether the passing railing is lifted to the road end controller 210 and controlling whether the passing railing is raised according to the railing control instruction from the road end controller 210 .
  • the alarm device 250 issues an alarm according to an alarm instruction from the roadside controller 210 .
  • the road end controller 210 is used to query the attribute information of the registered vehicle according to the vehicle identification information sent by the vehicle end controller 110, and is used to determine whether the vehicle has entered the traffic railing according to the position information from the vehicle end controller 110.
  • Area used to compare whether the attribute information of the vehicle identified by the vehicle attribute detection module 220 matches the attribute information of the queried registered vehicle, if the vehicle attribute information matches and the vehicle is located in the detection area in front of the traffic railing, the on-board terminal control
  • the device 110 issues a fee deduction command and controls the barrier controller 240 to lift the traffic barrier according to the fee deduction completion response. On the other hand, it sends an alarm command to the alarm device 250 when the vehicle attribute information does not match.
  • the road end controller 210 is also used for judging that the vehicle has not entered the detection area before the traffic railing according to the position information from the vehicle end controller 110, and for comparing the attribute information of the vehicle identified by the vehicle attribute detection module 220 with Whether the attribute information of the inquired registered vehicle matches, if the vehicle attribute information does not match and the railing status information from the railing controller 240 indicates that the traffic railing has fallen, an alarm command is sent to the alarm device 250 .
  • FIG. 4 is a schematic diagram of the signal trend of the anti-theft brushing method implemented by the ETC system in this embodiment.
  • the specific steps of the anti-theft brushing method that the ETC system of the present embodiment realizes comprises:
  • Step S1 When the vehicle enters the coil detection area at the entrance of the ETC system, that is, the shadow area of the coil detector in Figure 1, the vehicle unit system 100 starts to communicate with the roadside unit system 200, wherein 110 uploads the identification information (such as the vehicle ID) of the vehicle to the roadside controller 210, and the vehicle-mounted controller 110 uploads the location information of the vehicle obtained by its positioning module 120 to the vehicle ID in real time, that is, the location information of the vehicle and the roadside unit System 200 shared;
  • the identification information such as the vehicle ID
  • the vehicle-mounted controller 110 uploads the location information of the vehicle obtained by its positioning module 120 to the vehicle ID in real time, that is, the location information of the vehicle and the roadside unit System 200 shared;
  • Step S2 The road end controller 210 retrieves the attribute information of the vehicle corresponding to the identification information (for example, including: vehicle color, vehicle model, etc.) according to the received identification information;
  • the identification information for example, including: vehicle color, vehicle model, etc.
  • Step S3 the road end controller 210 controls the lane camera 230 to take pictures of the detection area in front of the traffic railing (equivalent to the area where the vehicle A in front is located in FIG. 1 );
  • Step S4 The lane camera 230 sends the captured image information to the vehicle attribute detection module 220;
  • Step S5 The vehicle attribute detection module 220 judges whether there is a vehicle in the detection area in front of the traffic railing according to the image information, if there is no vehicle, then proceed to step S6, if there is a vehicle, then skip to step S17;
  • Step S6 The road end controller 210 judges whether the vehicle running normally has entered the detection area before the traffic railing according to the vehicle position information shared by the vehicle-mounted unit system 100, if it is judged to be yes, then proceed to step S7, otherwise repeat step S6 Until the vehicle enters the detection area in front of the traffic railing;
  • Step S7 the road end controller 210 controls the lane camera 230 to take pictures of the detection area in front of the traffic railing;
  • Step S8 The camera 230 sends the captured image information to the vehicle attribute detection module 220;
  • Step S9 The vehicle attribute detection module 220 identifies the vehicle attribute and vehicle position of the vehicle in front of the traffic railing from the image information and sends it to the road end controller 210;
  • Step S10 The road end controller 210 matches the vehicle attribute of the vehicle in front of the traffic barrier identified by the vehicle attribute detection module 220 with the attribute information of the vehicle obtained in step S2. If the two are consistent, then enter step S11. If both Otherwise, skip to step S15;
  • Step S11 the road end controller 210 sends a deduction instruction to the vehicle end controller 110;
  • Step S12 The vehicle-mounted controller 110 sends a deduction command to the ETC deduction function module 120;
  • Step S13 According to the deduction command ETC deduction function module 120 executes the deduction and returns the deduction completion response to the vehicle-mounted controller 110;
  • Step S14 The on-vehicle controller 110 returns the toll deduction completion response to the road controller 210;
  • Step S15 the road end controller 210 controls the railing controller 240 to lift the passing railing and let the vehicle pass;
  • Step S16 the road end controller 210 sends an alarm instruction to the alarm device 250, and the alarm device 250 sends an alarm according to the alarm instruction to prompt that there is an illegal vehicle intrusion;
  • Step S17 From the image information captured by the lane camera 230, the vehicle attribute detection module 220 identifies the vehicle attribute of the vehicle in front of the traffic railing;
  • Step S18 The vehicle attribute detection module 220 sends the identified vehicle attribute of the vehicle in front of the traffic barrier to the road end controller 210;
  • Step S19 The road end controller 210 matches the vehicle attribute of the vehicle in front of the traffic barrier identified by the vehicle attribute detection module 220 with the attribute information of the vehicle obtained in step S2. If the two are consistent, return to step S6. If both If inconsistent, continue to step S20;
  • Step S20 The road end controller 210 judges whether the traffic railing is lifted according to the signal from the railing controller 240. If the traffic railing is lifted, it means that the vehicle in front of the traffic railing is the vehicle in front of the traffic railing that is driving normally and wants to pass the traffic railing. Then Returning to step S4, if the traffic railing is not lifted, it means that illegal vehicles have entered, then proceed to step S21;
  • Step S21 the road end controller 210 sends an alarm command to the alarm device 250, and the alarm device 250 sends out an alarm according to the alarm command to prompt that there is an illegal vehicle intrusion.
  • the anti-theft swiping method of the ETC system and the ETC system of the present invention by adding a roadside controller and a vehicle detection module to the ETC roadside unit, it is possible to effectively identify illegally intruding vehicles at the ETC bayonet, and give an alarm to illegal intrusion behaviors in time.
  • a Beidou high-precision positioning chip to the ETC vehicle unit, it is possible to accurately measure the position between the vehicle and the automatic railing, thereby accurately controlling the timing of lifting the automatic railing, and effectively preventing illegal intrusion vehicles from passing through the ETC bayonet.

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Abstract

本发明涉及ETC系统的防盗刷方法以及ETC系统。该方法包括：从车辆获取车辆的标识信息和位置信息；根据所述车辆的标识信息检索得到该车辆的属性信息；在车辆通过规定检测区域时触发对该车辆的影像信息的获取，根据所述影像信息识别得到该车辆的属性信息；判断检索得到的车辆的属性信息与所述识别得到的车辆的属性信息是否匹配，在判断两者不匹配的情况下发出表示存在盗刷风险的告警，在判断两者匹配的情况下放行车辆。根据本发明能够有效识别ETC卡口的非法闯入车辆，对非法闯入行为及时告警。

Description

ETC系统的防盗刷方法及ETC系统 技术领域
本发明涉及ETC技术，具体地涉及一种ETC系统的防盗刷方法以及ETC系统。
背景技术
ETC系统(ElectronicTollCollection)作为实现车辆不停车收费，其原理为：ETC系统通过安装于车辆上的车载单元系统和安装在收费站车道的路侧单元系统之间进行无线通信和信息交换来实现不停车收费。
图1是表示车辆通过现有的ETC系统时的示意图。
在现有的ETC系统中，在车辆通过ETC卡口的情况下，如图1所示，当非法闯入的前车A(即图1中的行驶方向上前侧的车辆)已进入ETC卡口通道，此时，正常行驶的后车B(即图1中的行驶方向上后侧的车辆)进入ETC卡口，正常行驶的后车B通过第一个线圈检测器时，ETC系统将对正常行驶的后车B正常完成ETC扣费，然后通行栏杆打开，但是非法闯入的前车A由于已经插在正常行驶的后车B之前，这将导致非法闯入的前车A先通过ETC卡口，而正常行驶的后车B却无法通过ETC卡口。
根据上述现有技术中存在的问题，需要提出一种能够限制图1中的非法闯入车辆通过ETC卡口的方案。
发明内容
鉴于上述问题，本发明旨在提供一种能够及时对非法闯入车辆进行告警的ETC系统的防盗刷方法以及ETC系统。
本发明一方面的ETC系统的防盗刷方法，其特征在于，包括:
信息获取步骤，从车辆获取车辆的标识信息和位置信息；
信息检索步骤，根据所述车辆的标识信息检索得到该车辆的属性信息，其中，预先存储有车辆的标识信息和属性信息之间的对应关系；
属性识别步骤，在车辆通过规定检测区域时触发对该车辆的影像信息的获取，根据所述影像信息识别得到该车辆的属性信息；
信息匹配步骤，判断所述信息检索步骤中检索得到的车辆的属性信息与所述属性识别步骤识别得到车辆的属性信息是否匹配，在判断两者不匹配的情况下继续以下的盗刷告警步骤，在判断两者匹配的情况下继续以下的车辆放行步骤；
盗刷告警步骤，发出表示存在盗刷风险的告警；以及
车辆放行步骤，控制ETC系统的通行栏杆抬起以放行车辆。
可选地，所述属性信息包括车辆颜色信息和车型信息。
可选地，在所述信息检索步骤和所述属性识别步骤之间进一步包括：
前车判断步骤，判断在所述规定检测区域是否已经存在车辆以及ETC系统的通行栏杆处于落下状态还是抬起状态。
可选地，在所述前车判断步骤中判断在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于落下状态的情况下，跳至所述盗刷告警步骤。
可选地，在所述前车判断步骤中判断在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于抬起状态的情况下，则继续所述属性识别步骤。
可选地，在所述前车判断步骤中判断为在所述规定检测区域没有车辆的情况下，则继续所述属性识别步骤。
可选地，所述属性识别步骤包括：
根据所述位置信息判断该车辆是否通过所述规定检测区域；
当判断该车辆通过所述规定检测区域时触发对车辆的影像信息的获取；以及根据所述影像信息识别得到车辆的属性信息。
可选地，所述属性识别步骤进一步包括：根据所述影像信息还识别得到车辆位置，
在所述信息匹配步骤中进一步包括：判断根据所述属性识别步骤中所述影像信息识别得到车辆位置与所述信息获取步骤中获取的位置信息是否一致，在在判断两者一致的情况下继续判断所述信息检索步骤中检索得到的车辆的属性信息与所述属性识别步骤识别得到车辆的属性信息是否匹配。
可选地，根据所述影像信息识别得到车辆的属性信息是通过深度学习算法实现。
可选地，根据所述影像信息识别得到车辆位置是通过YOLO模型或者FasterRCNN模型实现。
可选地，所述规定检测区域是位于通行栏杆前的规定大小的区域。
本发明一方面的ETC系统的路侧单元系统，其特征在于，包括：
车道摄像机，用于在车辆通过规定检测区域时被触发而获取车辆的影像信息；车辆属性检测模块，用于对于所述影像信息进行识别以获取车辆的属性信息；道路端控制器，用于从车辆获取车辆的标识信息和位置信息并且根据所述标识信息检索得到对应车辆的属性信息，将所述车辆属性检测模块识别到的属性信息与该检索得到的对应车辆的属性信息进行匹配，在两者匹配的情况下向以下的栏杆控制器发出抬杆的栏杆控制指令，在两者不匹配的情况下向以下的报警装置发出告警指令；
栏杆控制器，用于根据来自所述道路端控制器的栏杆控制指令控制通行栏杆的起落；以及
报警装置，用于根据来自所述道路端控制器的告警指令发出告警。
可选地，所述车辆属性检测模块还用于对于所述影像信息进行识别以获取车辆位置，
所述道路端控制器还用于判断所述车辆属性检测模块识别到的车辆位置与从车辆获取车辆的位置信息是否一致。
可选地，所述栏杆控制器还用于向车载端控制器发出表示通行栏杆是否落下的栏杆状态信息。
可选地，所述道路端控制器根据所述车辆位置判断车辆还未通过规定检测区域的情况下，触发所述车道摄像机获取车辆的影像信息并且将该获取的影像信息与通过所述车辆属性检测模块识别到的车辆的属性信息与检索得到的对应车辆的属性信息进行匹配，在两者不匹配并且来自所述栏杆控制器的栏杆状态信息表示通行栏杆落下的情况下向所述报警装置发出告警指令。
可选地，所述车辆属性检测模块根据所述影像信息识别得到车辆的属性信息是通过深度学习方法实现。
可选地，所述车辆属性检测模块根据所述影像信息识别得到车辆位置是通过YOLO模型或者FasterRCNN模型实现。
可选地，所述规定检测区域是位于通行栏杆前的规定大小的区域。
可选地，所述属性信息包括车辆颜色信息和车型信息。
本发明一方面的ETC系统的车载单元系统，其特征在于，包括：
定位模块，用于获取车辆的位置信息；
车载端控制器，用于与ETC系统的路侧单元系统进行通信，用于将车辆的标识信息和所述定位模块获取的位置信息上送到路侧单元系统；以及
ETC扣费功能模块，用于根据执行扣费动作。
可选地，所述定位模块采用北斗高精度定位芯片。
本发明一方面的计算机可读介质，其上存储有计算机程序，其特征在于，该计算机程序被处理器执行时实现所述的ETC系统的防盗刷方法。
本发明一方面的计算机设备，包括存储模块、处理器以及存储在存储模块上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现所述的ETC系统的防盗刷方法。
根据本发明的ETC系统的防盗刷方法以及ETC系统，通过在ETC路侧单元增加道路端控制器和车辆检测模块，可以有效识别ETC卡口的非法闯入车辆，对非法闯入行为及时告警。另一方面，通过在ETC车载单元增加北斗高精定位芯片，能够实现精准测量车辆与自动栏杆之间位置，由此能够准确控制自动栏杆抬起时机，有效避免非法闯入车辆通过ETC卡口。
附图说明
图1是表示车辆通过现有的ETC系统时的示意图。
图2是本发明ETC系统的防盗刷方法的流程示意图。
图3是表示本发明一个实施方式的ETC系统的结构框图。
图4是表示本发明该实施方式的ETC系统所实现的防盗刷方法的具体流程的信号走向图。
具体实施方式
下面介绍的是本发明的多个实施例中的一些，旨在提供对本发明的基本了解。并不旨在确认本发明的关键或决定性的要素或限定所要保护的范围。
出于简洁和说明性目的，本文主要参考其示范实施例来描述本发明的原理。但是，本领域技术人员将容易地认识到，相同的原理可等效地应用于所有类型的ETC系统的防盗刷方法以及ETC系统并且可以在其中实施这些相同的原理，以及任何此类变化不背离本专利申请的真实精神和范围。
而且，在下文描述中，参考了附图，这些附图图示特定的示范实施例。在不背离本发明的精神和范围的前提下可以对这些实施例进行电、机械、逻辑和结构上的更改。此外，虽然本发明的特征是结合若干实施/实施例的仅其中之一来公开的，但是如针对任何给定或可识别的功能可能是期望和/或有利的，可以将此特征与其他实施/实施例的一个或多个其他特征进行组合。因此，下文描述不应视为在限制意义上的，并且本发明的范围由所附权利要求及其等效物来定义。
诸如“具备”和“包括”之类的用语表示除了具有在说明书和权利要求书中有直接和明确表述的单元(模块)和步骤以外，本发明的技术方案也不排除具有未被直接或明确表述的其它单元(模块)和步骤的情形。
图2是本发明ETC系统的防盗刷方法的流程示意图。
如图2所示，本发明的ETC系统的防盗刷方法包括以下步骤：
信息获取步骤S100：从车辆获取车辆的标识信息和位置信息；
信息检索步骤S200：根据所述信息获取步骤中获取的标识信息检索得到该车辆的属性信息(例如车辆的颜色信息和车型信息)，其中，预先存储有车辆的标识信息和属性信息之间的对应关系；
属性识别步骤S300：在车辆通过规定检测区域时触发对该车辆的影像信息的获取以及对车辆位置的监控，根据所述影像信息识别该车辆的属性信息；
信息匹配步骤S400：判断所述信息检索步骤S200中获取的属性信息与所述属性识别步骤S300识别的属性信息是否匹配，在判断为两者不匹配的情况下继续以下的盗刷告警步骤S500，在判断为两者匹配的情况下继续以下的车辆放行步骤S600；以及
盗刷告警步骤S500：在所述信息匹配步骤中判断为两者不匹配的情况下，发出表示存在盗刷风险的告警；以及
车辆放行步骤S600：在所述信息匹配步骤S400中判断为两者匹配的情况下，控制ETC系统的通行栏杆抬起以放行车辆。
所述属性信息包括车辆颜色信息和车型信息。
在所述信息检索步骤S200和所述属性识别步骤S300之间进一步包括(未图示)：
前车判断步骤，判断在所述规定检测区域是否已经存在车辆以及ETC系统的通行 栏杆是否处于落下状态。
其中，在所述前车判断步骤中判断为在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于落下状态，跳至所述盗刷告警步骤S500。
其中，在所述前车判断步骤中判断为在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于抬起状态，则继续所述属性识别步骤。
其中，在所述前车判断步骤中判断为在所述规定检测区域没有车辆的情况下，则继续所述属性识别步骤S300。
作为一个示例，属性识别步骤S300包括：
根据来自车辆的位置信息判断该车辆是否通过所述规定检测区域；
当判断该车辆通过所述规定检测区域时触发车辆的影像信息的获取；以及
根据所述影像信息识别得到车辆的属性信息。
可选地，所述属性识别步骤进一步包括：
根据所述影像信息识别得到车辆位置，
在所述信息匹配步骤中进一步包括：
判断根据所述影像信息识别得到的车辆位置与所述信息获取步骤中的位置信息是否一致，在判断为两者一致的情况下继续判断所述信息检索步骤中获取的属性信息与所述属性识别步骤识别的属性信息是否匹配。
其中，根据所述影像信息识别得到车辆的属性信息是通过深度学习方法实现。
其中，根据所述影像信息识别得到车辆的位置是通过YOLO模型或者FasterRCNN模型实现。
其中，所述规定检测区域是位于通行栏杆前的规定大小的区域。
接着，对于本发明的一个实施方式的ETC系统以及ETC的防盗刷方法进行说明。
图3是表示本发明一个实施方式的ETC系统的结构框图。
如图3所示，本发明一个实施方式的ETC系统包括：车载单元系统100和路侧单元系统200。
其中，车载单元系统100包括：车载端控制器110、定位模块120以及ETC扣费功能模块130。路侧单元系统200包括：道路端控制器210、车辆属性检测 模块220、车道摄像头230、栏杆控制器240以及报警装置250。
本实施方式的ETC系统实现的防盗刷方法主要过程如下：
当车辆进入ETC卡口后，车载端控制器110向道路端控制器210上传车辆ID，并且车载端控制器110控制定位模块120获取车辆的位置信息，车载端控制器110与道路端控制器210实时共享车辆的位置信息；
道路端控制器210根据上传的车辆ID检索数据库中的对应的车辆的车辆属性(例如车辆颜色、车型等信息)；
在驶入车辆达到通行栏杆前的检测区域前，道路端控制器210控制车道摄像头230和车辆属性检测模块220对车辆位置进行监控，若通行栏杆前无车辆，则等待正常行驶车辆进入检测区，若通行栏杆落下且通行栏杆前的检测区有停滞车辆，但根据正常行驶车辆上报的位置信息可知其还未进入检测区的情况下，则该车是非法闯入车辆，由报警装置250进行报警，另一方面，若通行栏杆抬起，且通行栏杆前有停滞车辆，则该车为上一辆未驶出的车辆；
在驶入车辆到达通行栏杆前的检测区域时，控制车道摄像头230头和车辆属性检测模块220识别该车辆的属性信息(例如车型、颜色等信息)，并与数据库中检索到的车辆的属性信息进行匹配，若匹配成功则正常完成后续扣费流程，若匹配不成功，则该车辆为非法闯入车辆，由报警装置250进行报警。
以下，对于车载单元系统100和路侧单元系统200中的各个组成部分的具体功能进行说明。
在车载单元系统100中，定位模块120采用北斗高精度定位芯片，用于获取车辆的位置信息。车载端控制器110用于与道路端控制器210进行通信，将车辆的标识信息(例如车辆ID)和位置信息上送到道路端控制器210。ETC扣费功能模块130用于根据扣费指令执行扣费。
在路侧单元系统200中，车道摄像头230用于获取拍摄规定检测区域并获得车辆的影像信息，车辆属性检测模块220用于根据车道摄像头230获取的车辆的影像信息识别到车辆的属性信息以及车辆位置。栏杆控制器240用于将通行栏杆是否抬起的栏杆状态信息发送到道路端控制器210并且根据来自道路端控制器210栏杆控制指令控制通行栏杆是否抬起。报警装置250根据来自道路端控制器210的告警指令发出告警。
其中，道路端控制器210用于根据车载端控制器110上送的车辆标识信息查询到注册车辆的属性信息，用于根据来自车载端控制器110的位置信息判断车辆是否进入通行栏杆前的检测区域，用于比较车辆属性检测模块220识别到的车辆的属性信息与查询到的注册车辆的属性信息是否匹配，在车辆属性信息匹配并且车辆位于通行栏杆前的检测区域的情况下向车载端控制器110发出扣费指令并且根据扣费完成应答控制栏杆控制器240以抬起通行栏杆，另一方面，在车辆属性信息不匹配的情况下向报警装置250发出告警指令。
而且，道路端控制器210还用于根据来自车载端控制器110的位置信息判断车辆未进入通行栏杆前的检测区域的情况下，用于比较车辆属性检测模块220识别到的车辆的属性信息与查询到的注册车辆的属性信息是否匹配，在车辆属性信息不匹配并且来自栏杆控制器240的栏杆状态信息表示通行栏杆落下的状态下向报警装置250发出告警指令。
以下，具体说明本实施方式的ETC系统实现的防盗刷方法的过程。
图4是本实施方式的ETC系统实现的防盗刷方法的的信号走向示意图。
如图4所示，本实施方式的ETC系统实现的防盗刷方法的具体步骤包括：
步骤S1：当车辆进入ETC系统进口处的线圈检测区域时，也即图1中的线圈检测器的阴影区域，车载单元系统100开始与路侧单元系统200进行通信交互，其中，车载端控制器110上传车辆的标识信息(例如车辆ID)到道路端控制器210，并且车载端控制器110将其定位模块120获得车辆的位置信息实时上传到例如车辆ID，即将车辆的位置信息与路侧单元系统200共享；
步骤S2：道路端控制器210根据接收到的标识信息检索得到与该标识信息对应的车辆的属性信息(例如包括：车辆颜色、车辆车型等)；
步骤S3：道路端控制器210控制车道摄像头230拍摄通行栏杆前的检测区域(相当于图1中前车A所位于的区域)；
步骤S4：车道摄像头230将拍摄到的影像信息送至车辆属性检测模块220；
步骤S5：车辆属性检测模块220根据影像信息判断通行栏杆前的检测区域是否存在车辆，若不存在车辆，则进至步骤S6，若存在车辆，则跳至步骤S17；
步骤S6：道路端控制器210根据从车载单元系统100共享得到的车辆的位置信息判断正常行驶的车辆是否进入通行栏杆前的检测区域，若判断为是，则进至步骤 S7，否则重复步骤S6直至车辆进入通行栏杆前的检测区域；
步骤S7：道路端控制器210控制车道摄像头230拍摄通行栏杆前的检测区域；
步骤S8：摄像头230将拍摄到的影像信息送至车辆属性检测模块220；
步骤S9：车辆属性检测模块220从影像信息中识别出通行栏杆前的车辆的车辆属性和车辆位置并送至道路端控制器210；
步骤S10：道路端控制器210将车辆属性检测模块220识别到的通行栏杆前的车辆的车辆属性与步骤S2中获得的车辆的属性信息进行匹配，若两者一致，则进入步骤S11，若两者不一致，则跳至步骤S15；
步骤S11：道路端控制器210向车载端控制器110发出扣费指令；
步骤S12：车载端控制器110向ETC扣费功能模块120发出扣费指令；
步骤S13：根据扣费指令ETC扣费功能模块120执行扣费并将扣费完成应答返回车载端控制器110；
步骤S14：车载端控制器110将扣费完成应答返回到道路端控制器210；
步骤S15：道路端控制器210控制栏杆控制器240以抬起通行栏杆，放行车辆；
步骤S16：道路端控制器210向报报警装置250发出告警指令，根据告警指令报警装置250发出告警以提示有非法车辆闯入；
步骤S17：从车道摄像头230拍摄到的影像信息中车辆属性检测模块220识别通行栏杆前的车辆的车辆属性；
步骤S18：车辆属性检测模块220将识别到的通行栏杆前的车辆的车辆属性送至道路端控制器210；
步骤S19：道路端控制器210将车辆属性检测模块220识别到的通行栏杆前的车辆的车辆属性与步骤S2中获得的车辆的属性信息进行匹配，若两者一致则返回步骤S6，若两者不一致则继续步骤S20；
步骤S20：道路端控制器210根据来自栏杆控制器240的信号判断通行栏杆是否抬起，若通行栏杆抬起，则说明通行栏杆前的车辆是之前正常行驶并要通过通行栏杆的前车，则返回步骤S4，若通行栏杆未抬起说明有非法车辆驶入，则进至步骤S21；
步骤S21：道路端控制器210向报报警装置250发出告警指令，根据告警指令报警装置250发出告警以提示有非法车辆闯入。
根据本发明的ETC系统的防盗刷方法以及ETC系统，通过在ETC路侧单元增加道路端控制器和车辆检测模块，可以有效识别ETC卡口的非法闯入车辆，对非法闯入行为及时告警。另一方面，通过在ETC车载单元增加北斗高精定位芯片，能够实现精准测量车辆与自动栏杆之间位置，由此能够准确控制自动栏杆抬起时机，有效避免非法闯入车辆通过ETC卡口。
以上例子主要说明了本发明的ETC系统的防盗刷方法以及ETC系统。尽管只对其中一些本发明的具体实施方式进行了描述，但是本领域普通技术人员应当了解，本发明可以在不偏离其主旨与范围内以许多其他的形式实施。因此，所展示的例子与实施方式被视为示意性的而非限制性的，在不脱离如所附各权利要求所定义的本发明精神及范围的情况下，本发明可能涵盖各种的修改与替换。

Claims (23)

  1. 一种ETC系统的防盗刷方法，其特征在于，包括:
    信息获取步骤，从车辆获取车辆的标识信息和位置信息；
    信息检索步骤，根据所述车辆的标识信息检索得到该车辆的属性信息，其中，预先存储有车辆的标识信息和属性信息之间的对应关系；
    属性识别步骤，在车辆通过规定检测区域时触发对该车辆的影像信息的获取，根据所述影像信息识别得到该车辆的属性信息；
    信息匹配步骤，判断所述信息检索步骤中检索得到的车辆的属性信息与所述属性识别步骤识别得到车辆的属性信息是否匹配，在判断两者不匹配的情况下继续以下的盗刷告警步骤，在判断两者匹配的情况下继续以下的车辆放行步骤；
    盗刷告警步骤，发出表示存在盗刷风险的告警；以及
    车辆放行步骤，控制ETC系统的通行栏杆抬起以放行车辆。
  2. 如权利要求1所述的ETC系统的防盗刷方法，其特征在于，
    所述属性信息包括车辆颜色信息和车型信息。
  3. 如权利要求1所述的ETC系统的防盗刷方法，其特征在于，
    在所述信息检索步骤和所述属性识别步骤之间进一步包括：
    前车判断步骤，判断在所述规定检测区域是否已经存在车辆以及ETC系统的通行栏杆处于落下状态还是抬起状态。
  4. 如权利要求3所述的ETC系统的防盗刷方法，其特征在于，
    在所述前车判断步骤中判断在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于落下状态的情况下，跳至所述盗刷告警步骤。
  5. 如权利要求3所述的ETC系统的防盗刷方法，其特征在于，
    在所述前车判断步骤中判断在所述规定检测区域已经存在车辆并且ETC系统的通行栏杆处于抬起状态的情况下，则继续所述属性识别步骤。
  6. 如权利要求3所述的ETC系统的防盗刷方法，其特征在于，
    在所述前车判断步骤中判断为在所述规定检测区域没有车辆的情况下，则继续所 述属性识别步骤。
  7. 如权利要求1所述的ETC系统的防盗刷方法，其特征在于，所述属性识别步骤包括：
    根据所述位置信息判断该车辆是否通过所述规定检测区域；
    当判断该车辆通过所述规定检测区域时触发对车辆的影像信息的获取；以及根据所述影像信息识别得到车辆的属性信息。
  8. 如权利要求7所述的ETC系统的防盗刷方法，其特征在于，
    所述属性识别步骤进一步包括：根据所述影像信息还识别得到车辆位置，
    在所述信息匹配步骤中进一步包括：判断根据所述属性识别步骤中所述影像信息识别得到车辆位置与所述信息获取步骤中获取的位置信息是否一致，在在判断两者一致的情况下继续判断所述信息检索步骤中检索得到的车辆的属性信息与所述属性识别步骤识别得到车辆的属性信息是否匹配。
  9. 如权利要求7所述的ETC系统的防盗刷方法，其特征在于，
    根据所述影像信息识别得到车辆的属性信息是通过深度学习算法实现。
  10. 如权利要求8所述的ETC系统的防盗刷方法，其特征在于，
    根据所述影像信息识别得到车辆位置是通过YOLO模型或者FasterRCNN模型实现。
  11. 如权利要求1所述的ETC系统的防盗刷方法，其特征在于，
    所述规定检测区域是位于通行栏杆前的规定大小的区域。
  12. 一种ETC系统的路侧单元系统，其特征在于，包括：
    车道摄像机，用于在车辆通过规定检测区域时被触发而获取车辆的影像信息；
    车辆属性检测模块，用于对于所述影像信息进行识别以获取车辆的属性信息；
    道路端控制器，用于从车辆获取车辆的标识信息和位置信息并且根据所述标识信息检索得到对应车辆的属性信息，将所述车辆属性检测模块识别到的属性信息与该检索得到的对应车辆的属性信息进行匹配，在两者匹配的情况下向以下的栏杆控制器发出抬杆的栏杆控制指令，在两者不匹配的情况下向以下的报警装置发出告警指令；
    栏杆控制器，用于根据来自所述道路端控制器的栏杆控制指令控制通行栏杆的起落；以及
    报警装置，用于根据来自所述道路端控制器的告警指令发出告警。
  13. 如权利要求12所述的ETC系统的路侧单元系统，其特征在于，
    所述车辆属性检测模块还用于对于所述影像信息进行识别以获取车辆位置，
    所述道路端控制器还用于判断所述车辆属性检测模块识别到的车辆位置与从车辆获取车辆的位置信息是否一致。
  14. 如权利要求13所述的ETC系统的路侧单元系统，其特征在于，
    所述栏杆控制器还用于向车载端控制器发出表示通行栏杆是否落下的栏杆状态信息。
  15. 如权利要求14所述的ETC系统的路侧单元系统，其特征在于，
    所述道路端控制器根据所述车辆位置判断车辆还未通过规定检测区域的情况下，触发所述车道摄像机获取车辆的影像信息并且将该获取的影像信息与通过所述车辆属性检测模块识别到的车辆的属性信息与检索得到的对应车辆的属性信息进行匹配，在两者不匹配并且来自所述栏杆控制器的栏杆状态信息表示通行栏杆落下的情况下向所述报警装置发出告警指令。
  16. 如权利要求12所述的ETC系统的路侧单元系统，其特征在于，
    所述车辆属性检测模块根据所述影像信息识别得到车辆的属性信息是通过深度学习方法实现。
  17. 如权利要求13所述的ETC系统的路侧单元系统，其特征在于，
    所述车辆属性检测模块根据所述影像信息识别得到车辆位置是通过YOLO模型或者FasterRCNN模型实现。
  18. 如权利要求12所述的ETC系统的路侧单元系统，其特征在于，
    所述规定检测区域是位于通行栏杆前的规定大小的区域。
  19. 如权利要求12所述的ETC系统的路侧单元系统，其特征在于，
    所述属性信息包括车辆颜色信息和车型信息。
  20. 一种ETC系统的车载单元系统，其特征在于，包括：
    定位模块，用于获取车辆的位置信息；
    车载端控制器，用于与ETC系统的路侧单元系统进行通信，用于将车辆的标识信息和所述定位模块获取的位置信息上送到路侧单元系统；以及
    ETC扣费功能模块，用于根据执行扣费动作。
  21. 如权利要求19所述的ETC系统的车载单元系统，其特征在于，
    所述定位模块采用北斗高精度定位芯片。
  22. 一种计算机可读介质，其上存储有计算机程序，其特征在于，
    该计算机程序被处理器执行时实现权利要求1～11任意一项所述的ETC系统的防盗刷方法。
  23. 一种计算机设备，包括存储模块、处理器以及存储在存储模块上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1～11任意一项所述的ETC系统的防盗刷方法。
PCT/CN2022/113607 2021-12-24 2022-08-19 Etc系统的防盗刷方法及etc系统 Ceased WO2023116000A1 (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119251917A (zh) * 2024-10-08 2025-01-03 芜湖汽车前瞻技术研究院有限公司 Etc交互控制方法及装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105761319A (zh) * 2016-02-18 2016-07-13 武汉万集信息技术有限公司 一种etc车道防作弊方法与系统
CN108765605A (zh) * 2018-05-21 2018-11-06 苏州八股网络科技有限公司 一种公路收费系统及工作方法
CN110866983A (zh) * 2019-12-24 2020-03-06 王华清 解决误刷及盗刷问题的etc收费系统
CN110956236A (zh) * 2019-11-19 2020-04-03 广东创瑜机电工程有限公司 一种etc门架路侧读写方法及读写器
JP2021099601A (ja) * 2019-12-20 2021-07-01 アマノ株式会社 駐車場管制システム、駐車場管制方法、及びプログラム

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002288768A (ja) * 2001-01-17 2002-10-04 Honda Motor Co Ltd 車輌の通報システム
KR100527016B1 (ko) * 2001-11-08 2005-11-09 미츠비시 쥬고교 가부시키가이샤 통행료 징수 시스템 및 통행료 징수 방법
TW200839652A (en) * 2007-03-30 2008-10-01 Chunghwa Telecom Co Ltd Method for increasing success rate of automatically matching deduction data and law-enforcement data of VPS electronic toll collection system
CN101110161A (zh) * 2007-08-31 2008-01-23 北京科技大学 一种车型自动识别和车流量自动检测系统及其方法
CN104574540A (zh) * 2014-12-24 2015-04-29 北京速通科技有限公司 电子不停车收费系统及方法
CN107944329B (zh) * 2016-10-12 2021-12-07 航天信息股份有限公司 一种用于etc车道的车辆检测方法、车道控制器及系统
CN108696493A (zh) * 2017-04-06 2018-10-23 杭州远眺科技有限公司 一种车联网中身份认证及消息分发系统及方法
CN111862365B (zh) * 2018-05-31 2022-05-27 创新先进技术有限公司 不停车收费方法及装置、电子设备
CN108629977A (zh) * 2018-06-06 2018-10-09 上海城市交通设计院有限公司 基于汽车电子标识技术的出行特征分析方法
CN109767507A (zh) * 2019-03-01 2019-05-17 河北交通职业技术学院 一种基于电子围栏的高速公路不停车收费支付系统
CN111489455B (zh) * 2020-03-27 2021-09-28 中科车港（深圳）实业股份有限公司 融合北斗etc有源射频识别的三合一车载单元
CN111968257B (zh) * 2020-08-24 2022-05-06 郑州联睿电子科技有限公司 基于uwb测距技术的etc车辆收费通过系统及方法
CN215219753U (zh) * 2021-06-18 2021-12-17 山东派蒙机电技术有限公司 基于uwb设备的车辆行驶控制系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105761319A (zh) * 2016-02-18 2016-07-13 武汉万集信息技术有限公司 一种etc车道防作弊方法与系统
CN108765605A (zh) * 2018-05-21 2018-11-06 苏州八股网络科技有限公司 一种公路收费系统及工作方法
CN110956236A (zh) * 2019-11-19 2020-04-03 广东创瑜机电工程有限公司 一种etc门架路侧读写方法及读写器
JP2021099601A (ja) * 2019-12-20 2021-07-01 アマノ株式会社 駐車場管制システム、駐車場管制方法、及びプログラム
CN110866983A (zh) * 2019-12-24 2020-03-06 王华清 解决误刷及盗刷问题的etc收费系统

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119251917A (zh) * 2024-10-08 2025-01-03 芜湖汽车前瞻技术研究院有限公司 Etc交互控制方法及装置
WO2026077094A1 (zh) * 2024-10-08 2026-04-16 奇瑞汽车股份有限公司 Etc交互控制方法及装置

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