Vehicle violation behavior monitoring method and device and vehicle
Monitor the illegal driving behavior of other cars through the car body perception data, generate and upload violation evidence packages, solving the problem that the existing technology cannot monitor the illegal behavior of other cars, and achieving effective monitoring and recording of public driving safety.
Patent Information
- Application Number
- CN202311872144.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-29
- Publication Date
- 2025-07-01
AI Technical Summary
The prior art cannot effectively monitor and record illegal driving behaviors of other vehicles that endanger public driving safety.
By obtaining the car body perception data of the car, determine whether there is a target car for illegal driving, and generate a violation evidence package, including image information, violation time and violation location, and upload it to the preset platform.
It has realized the monitoring and recording of illegal driving behaviors of other vehicles that endanger public driving safety, helping government departments to verify and deal with violations, and improving road safety.
Smart Images
Figure CN120236409A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of vehicles, and in particular, to a method and device for monitoring vehicle violation behaviors and a vehicle. Background Art
[0002] When a vehicle is driving on the road, there are often people who ignore traffic laws and regulations. For example, they drive in the emergency lane when the road is congested, or reverse when they take the wrong intersection.
[0003] In the prior art, mainly the driving behaviors of the own vehicle are recorded or reminded to monitor the violation driving behaviors of the own vehicle, but there is no relevant record and evidence collection for the violation driving behaviors of other vehicles that endanger the public driving safety on the road, and it is impossible to monitor the violation driving behaviors of other vehicles that endanger the public driving safety. Summary of the Invention
[0004] The purpose of the present disclosure is to provide a method and device for monitoring vehicle violation behaviors and a vehicle, which can monitor the violation driving behaviors of other vehicles that endanger the public driving safety.
[0005] To achieve the above object, in a first aspect, the present disclosure provides a method for monitoring vehicle violation behaviors, including:
[0006] Obtain the body perception data of the own vehicle;
[0007] Determine whether there is a target other vehicle with a violation driving behavior according to the body perception data;
[0008] In the case of the target other vehicle with a violation driving behavior, generate a violation evidence package corresponding to the target other vehicle and upload it to a preset platform, where the violation evidence package includes the image information, violation time, and violation location of the target other vehicle.
[0009] Optionally, the determining whether there is a target other vehicle with a violation driving behavior according to the body perception data includes:
[0010] Determine whether there is a target other vehicle with at least one of the behaviors of speeding, occupying the emergency lane, changing lanes across the solid line, not giving way to pedestrians, and running a red light according to the body perception data.
[0011] Optionally, the generating a violation evidence package corresponding to the target other vehicle includes:
[0012] Determine the violation location and violation time of the target other vehicle, and collect the image information of the target other vehicle;
[0013] Create a file package corresponding to the target other vehicle, and store the violation location, the violation time, and the image information into the corresponding file package to obtain a violation evidence package corresponding to the target other vehicle.
[0014] Optionally, the vehicle body perception data obtained from the vehicle includes:
[0015] Obtain the vehicle body CAN data, image data, and radar data of the host vehicle;
[0016] Perform fusion processing on the vehicle body CAN data, the image data, and the radar data to obtain vehicle body perception data.
[0017] Optionally, the obtaining of the vehicle body CAN data, image data, and radar data of the host vehicle includes:
[0018] Obtain image data through the camera of the host vehicle;
[0019] Obtain radar data through the radar of the host vehicle;
[0020] Obtain vehicle body CAN data through the CAN bus of the host vehicle.
[0021] In a second aspect, the present disclosure provides a vehicle violation behavior monitoring device, including: a system processing module, a vehicle body perception data acquisition module, and a vehicle-mounted communication module. The system processing module is respectively communicatively connected to the vehicle body perception data acquisition module and the vehicle-mounted communication module, and the vehicle-mounted communication module is communicatively connected to a preset platform;
[0022] The vehicle body perception data acquisition module is configured to obtain the vehicle body perception data of the host vehicle and send it to the system processing module;
[0023] The system processing module is configured to determine, based on the vehicle body perception data, whether there is a target other vehicle with a violation driving behavior, and in the case of the target other vehicle with a violation driving behavior, generate a violation evidence package corresponding to the target other vehicle and send it to the vehicle-mounted communication module;
[0024] The vehicle-mounted communication module is configured to upload the violation evidence package to the preset platform.
[0025] Optionally, the system processing module is configured to determine, based on the vehicle body perception data, whether there is a target other vehicle with at least one of the behaviors of speeding, occupying the emergency lane, changing lanes across solid lines, not yielding to pedestrians, and running a red light.
[0026] Optionally, the system processing module is configured to determine the violation location and violation time of the target other vehicle, and collect the image information of the target other vehicle and;
[0027] Create a file package corresponding to the target other vehicle, and store the violation location, the violation time, and the image information into the corresponding file package to obtain a violation evidence package corresponding to the target other vehicle.
[0028] Optionally, the vehicle body perception data acquisition module includes a CAN data acquisition module, a sensor signal acquisition module, and a map position information module. The CAN data acquisition module is connected to the vehicle body CAN bus of the host vehicle, and the sensor signal acquisition module is respectively connected to the on-vehicle camera and the on-vehicle radar of the host vehicle;
[0029] The CAN data acquisition module is configured to obtain the vehicle body CAN data of the current vehicle;
[0030] The sensor signal acquisition module is configured to acquire image data and radar data;
[0031] The map position information module is configured to obtain road information and GPS position data.
[0032] In a third aspect, the present disclosure provides a vehicle, which includes the vehicle violation behavior monitoring device described in the second aspect.
[0033] Through the above technical solution, when determining a target other vehicle with a violation driving behavior based on the vehicle body perception data of the host vehicle, a violation evidence package corresponding to the target other vehicle is generated and uploaded to a preset platform, thereby realizing the monitoring of the violation driving behavior of other vehicles that endanger public driving safety.
[0034] Other features and advantages of the present disclosure will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification. Together with the following specific implementation, they are used to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the drawings:
[0036] Figure 1 is a flowchart of a vehicle violation behavior monitoring method shown according to an exemplary embodiment of the present disclosure.
[0037] Figure 2 is a block diagram of a vehicle violation behavior monitoring device shown according to an exemplary embodiment of the present disclosure.
[0038] Figure 3 is a block diagram of the communication between the other vehicle end, the host vehicle end, and the preset platform shown according to an exemplary embodiment of the present disclosure.
[0039] Figure 4 is another flowchart of a vehicle violation behavior monitoring method shown according to an exemplary embodiment of the present disclosure.
[0040] Figure 5 is a block diagram of a vehicle shown according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0041] The following will describe in detail the specific embodiments of the present disclosure with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for the purpose of illustrating and explaining the present disclosure, and are not intended to limit the present disclosure.
[0042] An embodiment of the present disclosure provides a method for monitoring vehicle violation behaviors, as Figure 1 shown, the method may include the following steps:
[0043] In step S100, obtain the body perception data of the host vehicle.
[0044] It should be understood that the body perception data includes the data that all the perception component parts of the host vehicle can obtain, and can be the image information, positioning information, road condition information, obstacle information, etc. of the environment where the host vehicle is located. The present disclosure does not limit this.
[0045] In step S200, according to the body perception data, determine whether there is a target other vehicle with a violation driving behavior.
[0046] In step S300, when there is the target other vehicle with a violation driving behavior, generate a violation evidence package corresponding to the target other vehicle and upload it to a preset platform. The violation evidence package includes the image information, violation time, and violation location of the target other vehicle.
[0047] It should be understood that the preset platform can be a government violation reporting platform, such as a traffic preset platform, a traffic management complaint reporting platform, etc., or any platform set as required. The present disclosure does not limit this.
[0048] Exemplarily, there are other vehicle B and other vehicle C driving on the current driving road of the host vehicle A. Obtain the body perception data of the host vehicle, and according to this body perception data, determine whether there are violation behaviors of other vehicle B and other vehicle C around the host vehicle; if only other vehicle B has a violation behavior, generate a violation evidence package corresponding to other vehicle B and upload it to the preset platform; if both other vehicle B and other vehicle C have violation behaviors, generate two violation evidence packages corresponding to other vehicle B and other vehicle C respectively, and upload the two violation evidence packages to the preset platform.
[0049] In the embodiment of the present disclosure, without making any improvement to the host vehicle, based on the original components of the host vehicle, monitor the driving behaviors of other vehicles around the host vehicle according to the body perception data of the host vehicle, and when there is a violation driving behavior of other vehicles around the host vehicle, generate a violation evidence package corresponding to the other vehicle with the violation driving behavior and upload it to the preset platform, avoiding traffic accidents caused by violation driving behaviors, and the government department can verify and handle the violation behaviors of other vehicles according to this violation evidence package, making the travel more civilized and safer.
[0050] To facilitate a better understanding of the vehicle violation monitoring method provided by the present disclosure by those skilled in the art, the steps of this method will be described in detail below.
[0051] In a possible implementation, in step S100, the obtaining of the body perception data of the host vehicle includes:
[0052] Obtaining the body CAN data, image data, and radar data of the host vehicle;
[0053] Performing fusion processing on the body CAN data, the image data, and the radar data to obtain body perception data.
[0054] It should be understood that the above body perception data is not limited to body CAN data, image data, and radar data. The body perception data mentioned in the embodiments of the present disclosure may also include other data that can be obtained according to all components on the host vehicle. The present disclosure does not limit this.
[0055] It is worth noting that the more types of data included in the body perception data, the more accurate the result of judging the driving violation behavior of the vehicle based on it.
[0056] In a possible implementation, the obtaining of the body CAN data, image data, and radar data of the host vehicle includes:
[0057] Obtaining image data through the camera of the host vehicle;
[0058] Obtaining radar data through the radar of the host vehicle;
[0059] Obtaining body CAN data through the CAN bus of the host vehicle.
[0060] It should be understood that the body perception data in the present disclosure is all obtained according to the existing components on the vehicle. The vehicle violation monitoring method provided by the present disclosure does not require adding new components to the host vehicle, reducing the cost of vehicle violation monitoring.
[0061] In a possible implementation, in step S200, the determining of the target other vehicle with a violation driving behavior according to the body perception data may include:
[0062] According to the body perception data, determining whether there is a target other vehicle with at least one behavior of speeding, occupying the emergency lane, changing lanes across the solid line, not giving way to pedestrians, or running a red light.
[0063] It should be understood that the above behaviors are only some of the shown violation driving behaviors. The violation driving behaviors mentioned in the embodiments of the present disclosure may also include other violation driving behaviors that can be determined according to the body perception data. The present disclosure does not limit this.
[0064] It should be understood that speeding can be determined based on the vehicle speed in the vehicle body perception data. When the vehicle speed is greater than the speed limit of the current driving section of the target other vehicle, it can be determined that the target other vehicle is speeding.
[0065] It is worth noting that occupying the emergency lane, changing lanes across solid lines, failing to yield to pedestrians, and running a red light can all be determined based on the image data or radar data in the vehicle body perception data.
[0066] Exemplarily, when the radar of the host vehicle detects a target other vehicle on the emergency lane or the camera of the host vehicle captures a target other vehicle on the emergency lane, it is determined that the target other vehicle occupies the emergency lane; when the camera of the host vehicle captures the target other vehicle changing lanes across solid lines, it is determined that the target other vehicle changes lanes across solid lines; when the radar of the host vehicle detects a pedestrian in front of the road, but the target other vehicle does not decelerate or stop waiting, it is determined that the target other vehicle fails to yield to pedestrians; when the traffic light at the intersection is red as captured by the camera of the host vehicle and the target other vehicle still continues to drive through the intersection, it is determined that the target other vehicle runs a red light.
[0067] It should be understood that the above is an example description of the determination method for the illegal driving behavior of other vehicles. The present disclosure can also use other determination methods not shown here that can determine the illegal driving behavior of vehicles based on vehicle body perception data.
[0068] In a possible implementation manner, in step S300, generating the illegal evidence package corresponding to the target other vehicle may include:
[0069] Determine the illegal position and illegal time of the target other vehicle, and collect the image information of the target other vehicle;
[0070] Create a file package corresponding to the target other vehicle, and store the illegal position, the illegal time, and the image information into the corresponding file package to obtain the illegal evidence package corresponding to the target other vehicle.
[0071] It should be understood that the image information of the target other vehicle includes but is not limited to information such as the vehicle shape, color, and license plate of the target other vehicle.
[0072] The complete process of the vehicle illegal behavior monitoring method provided by the present disclosure may include the following steps:
[0073] I. Obtain the vehicle body CAN data of the current vehicle through the vehicle CAN bus; obtain the image data of the current vehicle through the camera of the vehicle; obtain the radar data of the current vehicle through the radar of the vehicle.
[0074] II. The vehicle body CAN data, image data, and radar data are fused to obtain vehicle body perception data. Based on the vehicle data in the vehicle body perception data, it is determined whether there are any illegal driving behaviors of surrounding vehicles. The illegal driving behaviors include at least one or more of speeding, occupying the emergency lane, changing lanes across solid lines, not yielding to pedestrians, and running red lights.
[0075] III. In the case where there are illegal driving behaviors of surrounding vehicles, the image data of the illegal vehicle is obtained, and the illegal time and illegal location are determined. The image data, illegal time, and illegal location corresponding to the same illegal vehicle are packaged into an illegal evidence package and uploaded to the government illegal behavior reporting platform.
[0076] IV. In the case where there are no illegal driving behaviors of surrounding vehicles, no processing is performed.
[0077] In the embodiments of the present disclosure, the vehicle body perception data of the host vehicle is obtained through the existing components of the host vehicle. Based on the vehicle body perception data, the illegal driving behaviors of other vehicles around the host vehicle are monitored, making up for the shortcoming that existing vehicles can only record their own vehicles; and by uploading to a preset illegal platform.
[0078] The embodiments of the present disclosure also provide a vehicle illegal behavior monitoring device, as Figure 2 shown. The vehicle illegal behavior monitoring device includes: a system processing module, a vehicle body perception data acquisition module, and a vehicle-mounted communication module. The system processing module is communicatively connected to the vehicle body perception data acquisition module and the vehicle-mounted communication module respectively, and the vehicle-mounted communication module is communicatively connected to a preset platform.
[0079] Among them, the vehicle body perception data acquisition module is used to obtain the vehicle body perception data of the host vehicle and send it to the system processing module;
[0080] The system processing module is used to determine the target other vehicle with illegal driving behaviors based on the vehicle body perception data, and in the case of the target other vehicle with illegal driving behaviors, generate an illegal evidence package corresponding to the target other vehicle and send it to the vehicle-mounted communication module;
[0081] The vehicle-mounted communication module is used to upload the illegal evidence package to the preset platform.
[0082] It should be noted that the vehicle illegal behavior monitoring device may be an autonomous driving control unit, and the present disclosure does not limit this.
[0083] In the embodiments of the present disclosure, without making any improvements to the host vehicle, based on the original components of the host vehicle, the driving behaviors of other vehicles around the host vehicle are monitored according to the body perception data of the host vehicle. In the case that there are illegal driving behaviors of other vehicles around the host vehicle, an illegal evidence package of the other vehicle corresponding to the illegal driving behavior is generated and uploaded to a preset platform, so as to avoid traffic accidents caused by illegal driving behaviors. Moreover, the government department can verify and handle the illegal behaviors of other vehicles according to the illegal evidence package, making the travel more civilized and safer.
[0084] In a possible implementation manner, a body perception data acquisition module is configured to obtain the body CAN data, image data, and radar data of the host vehicle;
[0085] Perform fusion processing on the body CAN data, the image data, and the radar data to obtain body perception data.
[0086] In a possible implementation manner, a body perception data acquisition module is configured to obtain image data through a camera of the host vehicle;
[0087] Obtain radar data through a radar of the host vehicle;
[0088] Obtain body CAN data through the CAN bus of the host vehicle.
[0089] In a possible implementation manner, a system processing module is configured to determine, according to the body perception data, whether there is a target other vehicle with at least one behavior of speeding, occupying the emergency lane, changing lanes across the solid line, not yielding to pedestrians, or running a red light.
[0090] In a possible implementation manner, a vehicle-mounted communication module is configured to determine the illegal position and illegal time of the target other vehicle, and collect the image information of the target other vehicle;
[0091] Create a file package corresponding to the target other vehicle, and store the illegal position, the illegal time, and the image information into the corresponding file package to obtain an illegal evidence package corresponding to the target other vehicle.
[0092] In a possible implementation manner, the body perception data acquisition module includes a CAN data acquisition module, a sensor signal acquisition module, and a map position information module. The CAN data acquisition module is connected to the body CAN bus of the host vehicle, and the sensor signal acquisition module is respectively connected to the in-vehicle camera and the in-vehicle radar of the host vehicle;
[0093] The CAN data acquisition module is configured to obtain the body CAN data of the current vehicle;
[0094] The sensor signal acquisition module is configured to obtain image data and radar data;
[0095] The map location information module is used to obtain road information and GPS location data.
[0096] As Figure 3 shown, it should be understood that the system processing module includes a data behavior analysis module and a data recording module. For the sake of convenience in description, in the embodiments of the present disclosure, the Sensor Data module refers to the sensor signal acquisition module, the CAN Gateway module refers to the CAN data acquisition module, the Map Location module refers to the map location information module, the Data Fusion module refers to the system processing module, the Behavior analysis module refers to the behavior analysis module, the Data Record module refers to the data recording module, and the Remote Module refers to the vehicle-mounted communication module.
[0097] It should be understood that the CAN Gateway module is used to collect vehicle body CAN data from the CAN bus, the SensorData module is used to obtain image data and radar data from cameras and radars through Ethernet / LVDS / CAN, etc., the MapLocation module is used to provide road information and externally provide GPS data; the Data Fusion module is used to preliminarily process the image data, radar data, vehicle body CAN data, and map location information and then send them to the Behavior analysis module; the Behavior analysis module is used to judge whether there are any illegal driving behaviors of surrounding vehicles; the Data Record module is used to package the illegal information of the illegally driven vehicles; the Remote Module module is used to upload the packaged data to the government platform.
[0098] The working process is as follows:
[0099] 1. The CAN Gateway sends the received CAN data to the Data Fusion module.
[0100] 2. The Sensor Data receives the perception data of the camera and radar through Ethernet and sends the perception data to the Data Fusion module.
[0101] 3. The Map Location provides the road topology information and location information to the Data Fusion module.
[0102] 4. The Data Fusion preliminarily processes the received perception data, vehicle body CAN data, and road location data and then sends them to the Behavior analysis module.
[0103] 5. The Behavior analysis module will perform fusion processing on the data to analyze whether there are any illegal driving behaviors of surrounding vehicles. If there are illegal driving behaviors, the vehicle will be marked.
[0104] 6. The Data Recored module will package the data of the illegal driving behaviors of the marked vehicles.
[0105] 7. The Remote Module module will upload the packaged data to the corresponding government platform and record the event.
[0106] As Figure 4 shown, the execution process of the vehicle illegal behavior monitoring device is as follows:
[0107] First, receive the in-vehicle CAN data, map position information, image data, radar data, and its own perception data; second, perform fusion processing on the in-vehicle CAN data, map position information, image data, and radar data to obtain the vehicle body perception data; second, judge whether there are any illegal driving behaviors of the vehicle according to the vehicle body perception data; if so, obtain the image information of the illegally driving vehicle, and package the image information, illegal time, and illegal position corresponding to the illegally driving vehicle as evidence, and upload it to the public platform of the government department through the vehicle-mounted communication module; otherwise, no processing will be performed.
[0108] This disclosure embodiment also provides a vehicle, and the vehicle includes the above-mentioned vehicle illegal behavior monitoring device.
[0109] In this disclosure embodiment, there is no need to make any improvement to the self-vehicle. Based on the original components of the self-vehicle, according to the vehicle body perception data of the self-vehicle, monitor the driving behaviors of other vehicles around the self-vehicle, and when there are illegal driving behaviors of other vehicles around the self-vehicle, generate an illegal evidence package for the other vehicle corresponding to the illegal driving behavior and upload it to the preset platform, avoiding traffic accidents caused by illegal driving behaviors, and the government department can verify and process the illegal behaviors of other vehicles according to the illegal evidence package, making travel more civilized and safer.
[0110] Figure 5 FIG. 400 is a block diagram of a vehicle 400 shown according to an exemplary embodiment. For example, the vehicle 400 can be a hybrid vehicle, or a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles. The vehicle 400 can be an autonomous vehicle or a semi-autonomous vehicle.
[0111] Refer to Figure 5, vehicle 400 may include various subsystems. For example, an infotainment system 410, a perception system 420, a decision control system 430, a drive system 440, and a computing platform 450. Among them, vehicle 400 may also include more or fewer subsystems, and each subsystem may include multiple components. In addition, each subsystem and each component of vehicle 400 may be interconnected by wired or wireless means.
[0112] In some embodiments, the infotainment system 410 may include a communication system, an entertainment system, a navigation system, etc.
[0113] The perception system 420 may include several sensors for sensing information about the environment around vehicle 400. For example, the perception system 420 may include a global positioning system (the global positioning system may be a GPS system, a Beidou system, or other positioning systems), an inertial measurement unit (IMU), lidar, millimeter-wave radar, ultrasonic radar, and a camera device.
[0114] The decision control system 430 may include a computing system, a vehicle controller, a steering system, an accelerator, and a braking system.
[0115] The drive system 440 may include components that provide motive power for vehicle 400. In one embodiment, the drive system 440 may include an engine, an energy source, a transmission system, and wheels. The engine may be one or a combination of an internal combustion engine, an electric motor, and an air compression engine. The engine can convert the energy provided by the energy source into mechanical energy.
[0116] Some or all functions of vehicle 400 are controlled by the computing platform 450. The computing platform 450 may include at least one processor 451 and a memory 452. The processor 451 may execute instructions 453 stored in the memory 452.
[0117] The processor 451 may be any conventional processor, such as a commercially available CPU. The processor may also include, for example, a Graphic Process Unit (GPU), a Field Programmable Gate Array (FPGA), a System on Chip (SOC), an Application Specific Integrated Circuit (ASIC), or a combination thereof.
[0118] The memory 452 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0119] In addition to the instructions 453, the memory 452 can also store data, such as road maps, route information, data on the position, direction, speed, etc. of the vehicle. The data stored in the memory 452 can be used by the computing platform 450.
[0120] In an embodiment of the present disclosure, the processor 451 can execute the instructions 453 to complete all or part of the steps of the above-mentioned driving route planning method.
[0121] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When the program instructions are executed by a processor, the steps of the above-mentioned vehicle communication method are implemented. For example, the computer-readable storage medium can be the memory 452 including the program instructions as described above. The above program instructions can be executed by the processor 451 of the vehicle 400 to complete the above-mentioned vehicle communication method. In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program that can be executed by a programmable device. The computer program has a code portion for executing the above-mentioned autonomous driving method when executed by the programmable device.
[0122] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.
[0123] In addition, it should be noted that, in the case of no contradiction, the various specific technical features described in the above specific embodiments can be combined in any suitable manner. To avoid unnecessary repetition, the present disclosure does not separately describe various possible combination methods.
[0124] Furthermore, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.
Claims
1. A method for monitoring vehicle violation behaviors, characterized in that, Including: Obtaining the body perception data of the vehicle itself; Determining, based on the body perception data, whether there is a target other vehicle with a traffic violation; In the case of the target other vehicle with a traffic violation, generating a traffic violation evidence package corresponding to the target other vehicle and uploading it to a preset platform, where the traffic violation evidence package includes the image information, traffic violation time, and traffic violation location of the target other vehicle.
2. The vehicle violation behavior monitoring method according to claim 1, wherein, The determining, based on the body perception data, whether there is a target other vehicle with a traffic violation includes: Determining, based on the body perception data, whether there is a target other vehicle with at least one of the behaviors of speeding, occupying the emergency lane, changing lanes across solid lines, failing to yield to pedestrians, and running a red light.
3. The vehicle violation behavior monitoring method according to claim 1, wherein The generating a traffic violation evidence package corresponding to the target other vehicle includes: Determining the traffic violation location and traffic violation time of the target other vehicle and collecting the image information of the target other vehicle; Creating a file package corresponding to the target other vehicle and storing the traffic violation location, traffic violation time, and image information into the corresponding file package to obtain a traffic violation evidence package corresponding to the target other vehicle.
4. The vehicle violation behavior monitoring method according to any one of claims 1-3, characterized in that, The obtaining the body perception data of the vehicle itself includes: Obtaining the body CAN data, image data, and radar data of the vehicle itself; Performing fusion processing on the body CAN data, the image data, and the radar data to obtain the body perception data.
5. The vehicle violation behavior monitoring method according to claim 4, wherein The obtaining the body CAN data, image data, and radar data of the vehicle itself includes: Obtaining image data through the camera of the vehicle itself; Obtaining radar data through the radar of the vehicle itself; Obtaining body CAN data through the CAN bus of the vehicle itself.
6. A vehicle violation behavior monitoring device, characterized in that, Including: A system processing module, a body perception data acquisition module, and an in-vehicle communication module, where the system processing module is communicatively connected to the body perception data acquisition module and the in-vehicle communication module respectively, and the in-vehicle communication module is communicatively connected to a preset platform; The body perception data acquisition module is configured to obtain the body perception data of the vehicle itself and send it to the system processing module; The system processing module is configured to determine, based on the body perception data, whether there is a target other vehicle with a traffic violation, and in the case of the target other vehicle with a traffic violation, generate a traffic violation evidence package corresponding to the target other vehicle and send it to the in-vehicle communication module; The in-vehicle communication module is configured to upload the traffic violation evidence package to the preset platform.
7. The vehicle violation behavior monitoring device according to claim 6, characterized in that, The system processing module is configured to determine, based on the body perception data, whether there is a target other vehicle with at least one of the behaviors of speeding, occupying the emergency lane, changing lanes across solid lines, failing to yield to pedestrians, and running a red light.
8. The vehicle violation behavior monitoring device according to claim 6, wherein, The system processing module is configured to determine the traffic violation location and traffic violation time of the target other vehicle and collect the image information of the target other vehicle; Create a file package corresponding to the target other vehicle and store the traffic violation location, traffic violation time, and image information into the corresponding file package to obtain a traffic violation evidence package corresponding to the target other vehicle.
9. The vehicle violation behavior monitoring device according to claim 6, characterized in that, The vehicle body perception data acquisition module includes a CAN data acquisition module, a sensor signal acquisition module, and a map location information module. The CAN data acquisition module is connected to the vehicle body CAN bus of the host vehicle, and the sensor signal acquisition module is respectively connected to the in-vehicle camera and the in-vehicle radar of the host vehicle; The CAN data acquisition module is used to obtain the vehicle body CAN data of the current vehicle; The sensor signal acquisition module is used to acquire image data and radar data; The map location information module is used to obtain road information and GPS location data.
10. A vehicle, characterized in that, The vehicle includes the vehicle violation behavior monitoring device according to any one of claims 6-9.