Traffic accident processing method and apparatus

Abstract

This application provides a traffic accident handling method and apparatus. The method includes: broadcasting a first assistance feedback signal for an accident warning at a predetermined time period within a first predetermined time period after the occurrence of the first traffic accident, based on a first alarm signal for a first traffic accident sent by a first target vehicle; receiving a first target vehicle video reported by one or more vehicles; obtaining a first auxiliary vehicle video of the first traffic accident from the first target vehicle video; and sending the first auxiliary vehicle video to a cloud server so that the cloud server can process the first traffic accident by combining the vehicle information of the first target vehicle and the accident vehicle video of the first traffic accident. This solves the problem in related technologies where processing traffic accidents based on images or videos is limited by image quality and results in inaccurate results, thereby improving the accuracy of traffic accident handling results.

Description

Technical Field

[0001] The present invention relates to the field of communications, and more specifically, to a method and apparatus for handling traffic accidents. Background Technology

[0002] With vehicles becoming increasingly prevalent in people's daily lives, the sheer number of vehicles leads to traffic congestion on daily commutes. Big data shows that, in addition to objective factors such as excessive traffic flow and inadequate road infrastructure, traffic congestion during peak hours is often caused by uncivilized behaviors such as malicious lane-cutting, dangerous overtaking, and reckless lane changes by a small number of drivers rushing to save time. This easily leads to minor traffic accidents such as scrapes and rear-end collisions. Traffic police often struggle to reach the scene quickly due to road congestion, resulting in low efficiency and causing minor accidents to escalate into major traffic jams or even secondary accidents, posing significant traffic safety hazards. Furthermore, the inability to quickly resolve accidents often leads to drivers choosing to settle privately, resulting in subsequent disputes and arguments. In addition, if the accident scene is not fully preserved after the traffic police arrive, they cannot objectively and completely understand the course of events, which can easily lead to misjudgments.

[0003] Related technologies propose methods for determining liability in traffic accidents based on images or videos. The main content is a scheme for automatically determining liability based on the identification and processing of accident scene image information. However, this scheme is limited by objective conditions such as image quality and is prone to errors in liability determination. Summary of the Invention

[0004] This invention provides a method and apparatus for handling traffic accidents, which at least solves the problem in related technologies where processing traffic accidents based on images or videos is limited by image quality and results in inaccurate information.

[0005] According to an embodiment of the present invention, a traffic accident handling method is provided, applied to a roadside unit (RSU), comprising:

[0006] Receive the first alarm signal for the first traffic accident sent by the first target vehicle;

[0007] Based on the first alarm signal, a first assistance feedback signal for accident warning is broadcast within a predetermined time period after the first traffic accident occurs;

[0008] Receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident.

[0009] Obtain the video of the first auxiliary vehicle involved in the first traffic accident from the video of the first target vehicle;

[0010] The first auxiliary vehicle video is sent to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

[0011] In one exemplary embodiment, before sending the first auxiliary vehicle video to the cloud server, the method further includes:

[0012] The time difference between the recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident is determined. The first auxiliary vehicle videos are prioritized according to the time difference, and the priority is marked in the first auxiliary vehicle videos.

[0013] In an exemplary embodiment, obtaining the first auxiliary vehicle video of the first traffic accident from the target vehicle video includes:

[0014] Obtain the first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video;

[0015] Obtain a second vehicle video within a predetermined distance range from the location of the first traffic accident from the target vehicle video, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video.

[0016] In one exemplary embodiment, the method further includes:

[0017] Determine whether a second alarm signal for a second traffic accident is received from a second target vehicle within a third predetermined time period, wherein the second traffic accident is one or more traffic accidents;

[0018] If the judgment result is yes, determine whether the distance difference between the first location where the first traffic accident is located and the second location where the second traffic accident is located is less than a preset threshold.

[0019] If the judgment result is yes, the second traffic accident and the first traffic accident are determined to be the same traffic accident, and the second traffic accident and the first traffic accident are linked together;

[0020] If the judgment result is negative, the second traffic accident and the first traffic accident are determined to be different traffic accidents.

[0021] In one exemplary embodiment, after linking the second traffic accident to the first traffic accident, the method further includes:

[0022] The binding information between the first traffic accident and the second traffic accident is sent to the server. The binding information is used to instruct the cloud server to process the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident. The target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0023] According to another embodiment of the present invention, a traffic accident handling method is also provided, applied to a cloud server, comprising:

[0024] Receive the first vehicle information and the video of the first accident vehicle sent by the first target vehicle after the first traffic accident is detected;

[0025] The system receives a first auxiliary vehicle video sent by a roadside unit (RSU), wherein the first auxiliary vehicle video is a first assistance feedback signal broadcast by the RSU for a predetermined time period after the first traffic accident occurs, after the RSU receives a first alarm signal for the first traffic accident sent by the first target vehicle. The system also receives a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, and obtains the auxiliary vehicle video of the first traffic accident from the first target vehicle video. The first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident occurs.

[0026] The first traffic accident is processed based on the video from the first auxiliary vehicle, the first vehicle information, and the video from the first accident vehicle.

[0027] In an exemplary embodiment, before processing the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video, the method further includes:

[0028] Receive information about the second target vehicle and video footage of the second traffic accident from the second target vehicle.

[0029] Receive the binding information between the first traffic accident and the second traffic accident sent by the RSU;

[0030] The processing of the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video includes:

[0031] The target traffic accident is processed based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, wherein the target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0032] In an exemplary embodiment, processing the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video includes:

[0033] Priority of the video from the first auxiliary vehicle;

[0034] Based on the priority of the first auxiliary vehicle video, the target traffic accident is processed according to the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video.

[0035] According to another embodiment of the present invention, a traffic accident handling device is also provided, applied to a roadside unit (RSU), comprising:

[0036] The first receiving module is used to receive the first alarm signal of the first traffic accident sent by the first target vehicle;

[0037] The broadcast module is used to broadcast a first assistance feedback signal for accident warning at a predetermined time period within a first predetermined time period after the occurrence of the first traffic accident, based on the first alarm signal.

[0038] The second receiving module is used to receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident.

[0039] The acquisition module is used to acquire the video of the first auxiliary vehicle involved in the first traffic accident from the video of the first target vehicle;

[0040] The first sending module is used to send the first auxiliary vehicle video to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

[0041] In one exemplary embodiment, the apparatus further includes:

[0042] The first determining module is used to determine the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident, prioritize the first auxiliary vehicle video according to the time difference, and mark the priority in the first auxiliary vehicle video.

[0043] In one exemplary embodiment, the acquisition module includes:

[0044] The first acquisition submodule is used to acquire the first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video;

[0045] The second acquisition submodule is used to acquire a second vehicle video within a predetermined distance range from the target vehicle video to the location of the first traffic accident, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video.

[0046] In one exemplary embodiment, the apparatus further includes:

[0047] The judgment module is used to determine whether a second alarm signal for a second traffic accident sent by a second target vehicle is received within a third predetermined time period, wherein the second traffic accident is one or more traffic accidents;

[0048] The judgment module is used to determine, if the judgment result is yes, whether the distance difference between the first location where the first traffic accident is located and the second location where the second traffic accident is located is less than a preset threshold.

[0049] The second determining module is used to determine that the second traffic accident and the first traffic accident are the same traffic accident when the determination result is yes, and to bind the second traffic accident to the first traffic accident;

[0050] The third determining module is used to determine that the second traffic accident and the first traffic accident are different traffic accidents if the determination result is negative.

[0051] In one exemplary embodiment, the apparatus further includes:

[0052] The second sending module is used to send the binding information of the first traffic accident and the second traffic accident to the server. The binding information is used to instruct the cloud server to process the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident. The target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0053] According to another embodiment of the present invention, a traffic accident processing device is also provided, applied to a cloud server, comprising:

[0054] The third receiving module is used to receive the first vehicle information and the video of the first accident vehicle sent by the first target vehicle after the first traffic accident is detected.

[0055] The fourth receiving module is used to receive the first auxiliary vehicle video sent by the roadside unit (RSU), wherein the first auxiliary vehicle video is the first assistance feedback signal broadcast by the RSU for a predetermined time period after the first traffic accident occurs, after the RSU receives the first alarm signal of the first traffic accident sent by the first target vehicle. The module also receives the first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, and obtains the auxiliary vehicle video of the first traffic accident from the first target vehicle video. The first target vehicle video is the vehicle video within a second predetermined time period before and after the first traffic accident occurs.

[0056] The processing module is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video.

[0057] In one exemplary embodiment, the apparatus further includes:

[0058] The fifth receiving module is used for

[0059] Before processing the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video, the second vehicle information and the second traffic accident video sent by the second target vehicle are received.

[0060] The sixth receiving module is used to receive the binding information between the first traffic accident and the second traffic accident sent by the RSU;

[0061] Correspondingly, the processing module is also used for

[0062] The target traffic accident is processed based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, wherein the target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0063] In one exemplary embodiment, the processing module includes:

[0064] The third acquisition submodule is used to acquire the priority of the video from the first auxiliary vehicle;

[0065] The processing submodule is used to process the target traffic accident based on the priority of the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video.

[0066] According to yet another embodiment of the present invention, a computer-readable storage medium is also provided, wherein a computer program is stored therein, wherein the computer program is configured to perform the steps in any of the above method embodiments when it is run.

[0067] According to yet another embodiment of the present invention, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0068] This invention addresses the problem that image or video-based traffic accident processing in related technologies is limited by image quality and inaccurate results. By combining the accident video collected by other vehicles with the auxiliary vehicle video at the time of the accident, the accuracy of traffic accident processing results is improved. Attached Figure Description

[0069] Figure 1 This is a hardware structure block diagram of the mobile terminal for the traffic accident handling method according to an embodiment of the present invention.

[0070] Figure 2 This is a flowchart of a traffic accident handling method according to an embodiment of the present invention. Figure 1 ;

[0071] Figure 3 This is a flowchart of a traffic accident handling method according to an embodiment of the present invention. Figure 2 ;

[0072] Figure 4 This is a flowchart of the vehicle accident determination method according to this embodiment;

[0073] Figure 5 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 1 ;

[0074] Figure 6 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 2 ;

[0075] Figure 7This is a schematic diagram of a multi-vehicle accident scenario according to this embodiment;

[0076] Figure 8 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 3 ;

[0077] Figure 9 This is a structural frame of a traffic accident handling device according to an embodiment of the present invention. Figure 1 ;

[0078] Figure 10 This is a structural frame of a traffic accident handling device according to an embodiment of the present invention. Figure 2 . Detailed Implementation

[0079] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings and examples.

[0080] It should be noted that the terms "first," "second," etc., in the specification, claims, and drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0081] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of the mobile terminal for the traffic accident handling method according to an embodiment of the present invention, as shown below. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0082] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the traffic accident handling method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0083] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0084] This embodiment provides a traffic accident handling method that runs on the aforementioned mobile terminal or network architecture. Figure 2 This is a flowchart of a traffic accident handling method according to an embodiment of the present invention. Figure 1 ,like Figure 2 As shown, the process includes the following steps:

[0085] Step S202: Receive the first alarm signal for the first traffic accident sent by the first target vehicle;

[0086] Step S204: Based on the first alarm signal, broadcast the first assistance feedback signal of the accident warning at a predetermined time period within a first predetermined time after the first traffic accident occurs.

[0087] Step S206: Receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident.

[0088] Step S208: Obtain the video of the first auxiliary vehicle involved in the first traffic accident from the video of the first target vehicle;

[0089] In an exemplary embodiment, step S308 may specifically include: obtaining the first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video;

[0090] Obtain a second vehicle video within a predetermined distance range from the location of the first traffic accident from the target vehicle video, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video.

[0091] Step S210: Send the first auxiliary vehicle video to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

[0092] Through the above steps S202 to S210, when a traffic accident alarm signal is received, auxiliary vehicle videos of the traffic accident are obtained through other vehicles. The cloud server combines the accident video collected by the vehicle involved in the traffic accident with the auxiliary vehicle videos provided by other vehicles to process the traffic accident. This can solve the problem that the processing of traffic accidents based on images or videos in related technologies is limited by image quality and has inaccurate processing results. Combining auxiliary vehicle videos collected by other vehicles at the time of the accident improves the accuracy of the processing results of traffic accidents.

[0093] In an exemplary embodiment, before sending the first auxiliary vehicle video to the cloud server, the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident is determined, the first auxiliary vehicle video is prioritized according to the time difference, and the priority is marked in the first auxiliary vehicle video.

[0094] In an exemplary embodiment, it is determined whether a second alarm signal for a second traffic accident sent by a second target vehicle is received within a third predetermined time period, wherein the second traffic accident is one or more traffic accidents; if the determination result is yes, it is determined whether the distance difference between the first location of the first traffic accident and the second location of the second traffic accident is less than a preset threshold; if the determination result is yes, it is determined that the second traffic accident and the first traffic accident are the same traffic accident, and the second traffic accident is bound to the first traffic accident; if the determination result is no, it is determined that the second traffic accident and the first traffic accident are different traffic accidents, and further, after determining that they are different traffic accidents, a second assistance feedback signal is broadcast within the first predetermined time period after the occurrence of the second traffic accident according to the second alarm signal; a second target vehicle video reported by the one or more vehicles after receiving the second assistance feedback signal is received, wherein the second target vehicle video is a vehicle video within the second predetermined time period before and after the occurrence of the second traffic accident; a second auxiliary vehicle video of the second traffic accident is obtained from the second target vehicle video; the second auxiliary vehicle video is sent to a cloud server, wherein the cloud server is used to process the second traffic accident according to the second auxiliary vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident.

[0095] In an exemplary embodiment, after binding the second traffic accident with the first traffic accident, binding information of the first traffic accident and the second traffic accident is sent to the server. The binding information is used to instruct the cloud server to process the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident. The target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0096] According to another embodiment of the present invention, a traffic accident handling method is also provided, applied to a cloud server. Figure 3 This is a flowchart of a traffic accident handling method according to an embodiment of the present invention. Figure 2 ,like Figure 3 As shown, the process includes the following steps:

[0097] Step S302: Receive the first vehicle information and the video of the first accident vehicle sent by the first target vehicle after the first traffic accident is detected;

[0098] Step S304: Receive the first auxiliary vehicle video sent by the roadside unit (RSU), wherein the first auxiliary vehicle video is the first assistance feedback signal broadcast by the RSU for a predetermined time period after the first traffic accident occurs, after the RSU receives the first alarm signal of the first traffic accident sent by the first target vehicle. Receive the first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, and obtain the auxiliary vehicle video of the first traffic accident from the first target vehicle video. The first target vehicle video is the vehicle video within a second predetermined time period before and after the first traffic accident occurs.

[0099] Step S306: Process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video.

[0100] Through the above steps S302 to S306, when a traffic accident alarm signal is received, auxiliary vehicle videos of the traffic accident are obtained through other vehicles. The cloud server combines the accident video collected by the vehicle involved in the traffic accident with the auxiliary vehicle videos provided by other vehicles to process the traffic accident. This can solve the problem that the processing of traffic accidents based on images or videos in related technologies is limited by image quality and has inaccurate processing results. Combining auxiliary vehicle videos collected by other vehicles at the time of the accident improves the accuracy of the processing results of traffic accidents.

[0101] In an exemplary embodiment, before processing the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video, the system receives second vehicle information sent by the second target vehicle and a second traffic accident video of the second traffic accident; it also receives binding information between the first traffic accident and the second traffic accident sent by the RSU. Specifically, step S306 may include: processing the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, wherein the target traffic accident is obtained by merging the first traffic accident and the second traffic accident; further, obtaining the priority of the first auxiliary vehicle video; and processing the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, taking into account the priority of the first auxiliary vehicle video.

[0102] The vehicle in this embodiment includes: an MCU, a V2X module, a CAN transceiver, a camera, sensors, and GPS. The sensors, combined with CAN data and airbag signals, automatically confirm the occurrence of an accident and report it to the Roadside Unit (RSU). The RSU includes an MCU, a V2X module, a camera, and a modem. Simultaneously, the RSU broadcasts the accident information to surrounding vehicles. Upon receiving the broadcast, surrounding vehicles upload recorded videos of their passage through the accident area to the RSU. The RSU determines the validity of the video based on the clarity and presence of the vehicle's license plate information, and prioritizes the uploaded videos based on their recording time relative to the time of the accident, allowing the cloud platform's manual backend to retrieve them sequentially for liability determination.

[0103] Figure 4 This is a flowchart of the vehicle accident determination method according to this embodiment, such as... Figure 4 As shown, it includes:

[0104] Step S401: The vehicle sensors collect data and determine that a collision has occurred;

[0105] In step S402, the vehicle MCU collects CAN data and determines whether there is an airbag deployment signal. If the result is negative, proceed to step S403; otherwise, proceed to step S40.

[0106] In step S403, vehicle A sends a collision warning signal to the RSU via C-V2X, and simultaneously reports the MSD (GPS, VIN, license plate) and accident video to the cloud server, and marks the accident vehicle video as Ec;

[0107] To determine if S404 has occurred, the RSU will determine whether other collision events have been reported within Tc minutes.

[0108] In step S405, the RSU determines whether the collision event received within Tc minutes is within the Rc distance range of the GPS information of the location where the last reported event occurred. If the result is no, proceed to step S406; otherwise, proceed to step S408.

[0109] Step S406, RSU determines it to be a single-vehicle accident;

[0110] In step S407, the RSU receives a collision event report and immediately broadcasts an accident warning signal Sa;

[0111] In step S408, after receiving the collision alarm signal, the RSU broadcasts the accident warning assistance feedback signal Sa via C-V2X for a duration of Ts minutes.

[0112] Step S409: After receiving the Sa signal, the surrounding vehicles report the video footage within Tr minutes before and after the time T1 when the accident occurred to the RSU.

[0113] Determine if the S410 RSU analysis video contains license plate information of the accident vehicle;

[0114] In step S411, the RSU prioritizes the videos based on the overlap between the video recording time and the accident occurrence time, and marks them as Ean (n ranges from 1 to 5, with priority from high to low) for use by the cloud server's manual backend for liability determination.

[0115] In step S412, the cloud backend completes the liability determination based on the Ec and Ean videos, and notifies the vehicle owner of the liability determination result and requests the removal of the accident vehicle through the telephone function of the vehicle TBOX.

[0116] Step S413: Automatically dial ECALL, upload MSD information and dashcam information to the cloud service backend, and mark the emergency as a serious accident;

[0117] Step S414: Based on the telephone communication and video analysis, the back-end dispatches fire, medical, engineering, and other rescue teams.

[0118] In step S415, the RSU receives a collision event report and immediately broadcasts an accident warning signal Sa;

[0119] Step S416: Rescue forces tow away the accident vehicle.

[0120] Example 1

[0121] For serious accident scenarios involving airbag deployment, Figure 5 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 1 ,like Figure 5 As shown, it includes:

[0122] Step S501: The vehicle sensors collect data to determine that a collision has occurred, and the signals collected from the CAN bus indicate that the airbags have deployed.

[0123] Step S502: Automatically dial ECALL, upload MSD information and dashcam information to RSU and cloud service backend, and mark emergency serious accident Ee;

[0124] In step S503, after receiving the collision alarm signal, the RSU broadcasts the accident warning assistance feedback signal Sa via C-V2X for a duration of Ts minutes.

[0125] Step S504: After receiving the Sa signal, the surrounding vehicles report the video footage within Tr minutes before and after the time T1 when the accident occurred to the RSU.

[0126] Step S505: RSU analyzes whether there is license plate information of the accident vehicle in the video. If the analysis result is yes, proceed to step S506; otherwise, return to step S504.

[0127] In step S506, the RSU prioritizes the videos based on the overlap between the video recording time and the accident occurrence time, and marks them as Een (n ranges from 1 to 5, with priority from high to low) for use by the cloud server's manual backend.

[0128] Step S507: Based on the analysis of telephone communication, accident vehicle video, and surrounding vehicle video, the backend dispatches rescue forces such as fire, medical, and engineering teams.

[0129] Step S508: Rescue forces tow away the accident vehicles and restore traffic.

[0130] Example 2

[0131] For typical bicycle accident scenarios, Figure 6 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 2 ,like Figure 6 As shown, it includes:

[0132] Step S601: The vehicle sensors collect data and determine that a collision has occurred;

[0133] Step S602: The vehicle uploads MSD information and dashcam video to the RSU and cloud service backend, and marks it as a common accident (Ec).

[0134] In step S603, after receiving the collision alarm signal, the RSU broadcasts the accident warning assistance feedback signal Sa via C-V2X.

[0135] Step S604: The vehicle moves itself, and the RSU is notified to restore traffic.

[0136] In step S605, the RSU receives the report of traffic restoration and stops broadcasting.

[0137] Example 3

[0138] For typical multi-vehicle accident scenarios, Figure 7 This is a schematic diagram of a multi-vehicle accident scenario according to this embodiment, such as... Figure 7 As shown, at a traffic light intersection, a collision occurs between two or more vehicles, resulting in a vehicle locking incident. Figure 8 This is the flow chart of the vehicle accident determination method according to this preferred embodiment. Figure 3 ,like Figure 8 As shown, it includes:

[0139] Step S801: The vehicle sensors collect data and determine that a collision has occurred;

[0140] Step S802: The vehicle uploads MSD information and dashcam information to the RSU and cloud service backend, and marks it as an emergency serious accident (Ec).

[0141] Step S803, the RSU receives reports of other collision events within Tc minutes;

[0142] In step S804, determine whether the GPS of the collision event is within the radius of R meters of the previous event location. If the result is yes, proceed to step S805; otherwise, proceed to step S806.

[0143] In step S805, the RSU merges these several collision events into a single accident;

[0144] In step S806, the RSU determines that there are multiple incidents;

[0145] In step S807, after receiving the collision alarm signal, the RSU broadcasts the accident warning assistance feedback signal Sa via C-V2X for a duration of Ts minutes.

[0146] Step S808: After receiving the Sa signal, the surrounding vehicles report the video footage within Tr minutes before and after the time T1 when the accident occurred to the RSU.

[0147] Determine whether there is license plate information of the accident vehicle in the RSU analysis video in step S809. If the analysis result is yes, proceed to step S810; otherwise, return to step S808.

[0148] In step S810, the RSU prioritizes the videos based on the overlap between the video recording time and the accident occurrence time, and marks them as Een (n ranges from 1 to 5, with priority from high to low) for use by the cloud server's manual backend.

[0149] In step S811, the cloud backend completes the liability determination based on the Ec and Ean videos, and notifies the accident vehicle owner of the liability determination result and requests the removal of the accident vehicle through the telephone function of the vehicle TBOX.

[0150] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0151] This embodiment also provides a traffic accident handling device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0152] Figure 9 This is a structural frame of a traffic accident handling device according to an embodiment of the present invention. Figure 1 ,like Figure 9 As shown, the device, applied to a roadside unit (RSU), includes:

[0153] The first receiving module 92 is used to receive the first alarm signal of the first traffic accident sent by the first target vehicle;

[0154] Broadcast module 94 is used to broadcast a first assistance feedback signal for accident warning at a predetermined time period within a first predetermined time period after the occurrence of the first traffic accident, based on the first alarm signal.

[0155] The second receiving module 96 is used to receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident.

[0156] Acquisition module 98 is used to acquire the video of the first auxiliary vehicle involved in the first traffic accident from the video of the first target vehicle;

[0157] The first sending module 910 is used to send the first auxiliary vehicle video to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

[0158] In one exemplary embodiment, the apparatus further includes:

[0159] The first determining module is used to determine the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident, prioritize the first auxiliary vehicle video according to the time difference, and mark the priority in the first auxiliary vehicle video.

[0160] In one exemplary embodiment, the acquisition module 98 includes:

[0161] The first acquisition submodule is used to acquire the first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video;

[0162] The second acquisition submodule is used to acquire a second vehicle video within a predetermined distance range from the target vehicle video to the location of the first traffic accident, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video.

[0163] In one exemplary embodiment, the apparatus further includes:

[0164] The judgment module is used to determine whether a second alarm signal for a second traffic accident sent by a second target vehicle is received within a third predetermined time period, wherein the second traffic accident is one or more traffic accidents;

[0165] The judgment module is used to determine, if the judgment result is yes, whether the distance difference between the first location where the first traffic accident is located and the second location where the second traffic accident is located is less than a preset threshold.

[0166] The second determining module is used to determine that the second traffic accident and the first traffic accident are the same traffic accident when the determination result is yes, and to bind the second traffic accident to the first traffic accident;

[0167] The third determining module is used to determine that the second traffic accident and the first traffic accident are different traffic accidents if the determination result is negative.

[0168] In one exemplary embodiment, the apparatus further includes:

[0169] The second sending module is used to send the binding information of the first traffic accident and the second traffic accident to the server. The binding information is used to instruct the cloud server to process the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident. The target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0170] According to another embodiment of the present invention, a traffic accident processing device is also provided, applied to a cloud server. Figure 10 This is a structural frame of a traffic accident handling device according to an embodiment of the present invention. Figure 2 ,like Figure 10 As shown, it includes:

[0171] The third receiving module 102 is used to receive the first vehicle information and the first accident vehicle video sent by the first target vehicle after the first traffic accident is detected.

[0172] The fourth receiving module 104 is used to receive a first auxiliary vehicle video sent by a roadside unit (RSU), wherein the first auxiliary vehicle video is a first assistance feedback signal broadcast by the RSU for a predetermined time period after the first traffic accident occurs, after the RSU receives a first alarm signal for the first traffic accident sent by the first target vehicle, and receives a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, and obtains the auxiliary vehicle video of the first traffic accident from the first target vehicle video, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident occurs.

[0173] The processing module 106 is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video.

[0174] In one exemplary embodiment, the apparatus further includes:

[0175] The fifth receiving module is used for

[0176] Before processing the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video, the second vehicle information and the second traffic accident video sent by the second target vehicle are received.

[0177] The sixth receiving module is used to receive the binding information between the first traffic accident and the second traffic accident sent by the RSU;

[0178] Correspondingly, the processing module 106 is also used for

[0179] The target traffic accident is processed based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, wherein the target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

[0180] In one exemplary embodiment, the processing module 106 includes:

[0181] The third acquisition submodule is used to acquire the priority of the video from the first auxiliary vehicle;

[0182] The processing submodule is used to process the target traffic accident based on the priority of the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video.

[0183] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0184] Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, wherein the computer program is configured to perform the steps in any of the above method embodiments when executed.

[0185] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0186] Embodiments of the present invention also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0187] In one exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0188] Specific examples in this embodiment can be found in the examples described in the above embodiments and exemplary implementations, and will not be repeated here.

[0189] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0190] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for handling traffic accidents, applied to a roadside unit (RSU), characterized in that, include: Receive the first alarm signal for the first traffic accident sent by the first target vehicle; Based on the first alarm signal, a first assistance feedback signal for accident warning is broadcast within a predetermined time period after the first traffic accident occurs; Receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident. Obtaining a first auxiliary vehicle video of the first traffic accident from the first target vehicle video includes: obtaining a first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video; and obtaining a second vehicle video within a predetermined distance range of the location of the first traffic accident from the target vehicle video, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video; Determine the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident, prioritize the first auxiliary vehicle video according to the time difference, and mark the priority in the first auxiliary vehicle video; The first auxiliary vehicle video is sent to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

2. The method according to claim 1, characterized in that, The method further includes: Determine whether a second alarm signal for a second traffic accident is received from the second target vehicle within a third predetermined time period, wherein the second traffic accident is one or more traffic accidents; If the judgment result is yes, determine whether the distance difference between the first location where the first traffic accident is located and the second location where the second traffic accident is located is less than a preset threshold. If the judgment result is yes, the second traffic accident and the first traffic accident are determined to be the same traffic accident, and the second traffic accident and the first traffic accident are linked together; If the judgment result is negative, the second traffic accident and the first traffic accident are determined to be different traffic accidents.

3. The method according to claim 2, characterized in that, After linking the second traffic accident to the first traffic accident, the method further includes: The binding information between the first traffic accident and the second traffic accident is sent to the server. The binding information is used to instruct the cloud server to process the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information of the second target vehicle, and the second accident vehicle video of the second traffic accident. The target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

4. A method for handling traffic accidents, applied to a cloud server, characterized in that, include: Receive the first vehicle information and the video of the first accident vehicle sent by the first target vehicle after the first traffic accident is detected; The system receives a first auxiliary vehicle video sent by a roadside unit (RSU). The first auxiliary vehicle video is a first assistance feedback signal broadcast by the RSU within a predetermined time period after the first traffic accident occurs, after receiving a first warning signal from the first target vehicle regarding the first traffic accident. The system also receives first target vehicle videos reported by one or more vehicles after receiving the first assistance feedback signal, and obtains auxiliary vehicle videos of the first traffic accident from the first target vehicle videos. The first target vehicle videos are vehicle videos within a second predetermined time period before and after the first traffic accident. The first auxiliary vehicle videos include a first vehicle video and a second vehicle video. The first vehicle video is the vehicle video corresponding to the license plate number of the first target vehicle obtained by the RSU from the target vehicle videos. The second vehicle video is the vehicle video within a predetermined distance range of the location of the first traffic accident obtained by the RSU from the target vehicle videos. The first auxiliary vehicle videos are marked with priorities, which are determined by the RSU after prioritizing the first auxiliary vehicle videos based on the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident. The first traffic accident is processed based on the video from the first auxiliary vehicle, the first vehicle information, and the video from the first accident vehicle.

5. The method according to claim 4, characterized in that, Before processing the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video, the method further includes: Receive information about the second target vehicle and video footage of the second accident vehicle in the second traffic accident; Receive the binding information between the first traffic accident and the second traffic accident sent by the RSU; The processing of the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video includes: The target traffic accident is processed based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video, wherein the target traffic accident is obtained by merging the first traffic accident and the second traffic accident.

6. The method according to claim 5, characterized in that, Processing the target traffic accident based on the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video includes: Priority of the video from the first auxiliary vehicle; Based on the priority of the first auxiliary vehicle video, the target traffic accident is processed according to the first auxiliary vehicle video, the first vehicle information, the first accident vehicle video, the second vehicle information, and the second accident vehicle video.

7. A traffic accident handling device, applied to a roadside unit (RSU), characterized in that, include: The first receiving module is used to receive the first alarm signal of the first traffic accident sent by the first target vehicle; The broadcast module is used to broadcast a first assistance feedback signal for accident warning at a predetermined time period within a first predetermined time period after the occurrence of the first traffic accident, based on the first alarm signal. The second receiving module is used to receive a first target vehicle video reported by one or more vehicles after receiving the first assistance feedback signal, wherein the first target vehicle video is a vehicle video within a second predetermined time period before and after the first traffic accident. The acquisition module is used to acquire a first auxiliary vehicle video of the first traffic accident from the first target vehicle video, including: acquiring a first vehicle video corresponding to the license plate number of the first target vehicle from the target vehicle video; and acquiring a second vehicle video within a predetermined distance range of the location of the first traffic accident from the target vehicle video, wherein the first auxiliary vehicle video includes the first vehicle video and the second vehicle video; The first determining module is used to determine the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident, sort the first auxiliary vehicle video according to the time difference, and mark the priority in the first auxiliary vehicle video. The first sending module is used to send the first auxiliary vehicle video to the cloud server, wherein the cloud server is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information of the first target vehicle, and the first accident vehicle video of the first traffic accident.

8. A traffic accident handling device, applied to a cloud server, characterized in that, include: The third receiving module is used to receive the first vehicle information and the video of the first accident vehicle sent by the first target vehicle after the first traffic accident is detected. The fourth receiving module is used to receive a first auxiliary vehicle video sent by a roadside unit (RSU). The first auxiliary vehicle video is a first assistance feedback signal broadcast by the RSU at a predetermined time period after the first traffic accident occurs, after the RSU receives a first alarm signal for the first traffic accident from the first target vehicle. The module also receives first target vehicle videos reported by one or more vehicles after receiving the first assistance feedback signal, and obtains auxiliary vehicle videos of the first traffic accident from the first target vehicle videos. The first target vehicle videos are vehicle videos within a second predetermined time period before and after the first traffic accident. The first auxiliary vehicle videos include a first vehicle video and a second vehicle video. The first vehicle video is the vehicle video corresponding to the license plate number of the first target vehicle obtained by the RSU from the target vehicle videos. The second vehicle video is the vehicle video within a predetermined distance range of the location of the first traffic accident obtained by the RSU from the target vehicle videos. The first auxiliary vehicle videos are marked with priorities, which are determined by the RSU after prioritizing the first auxiliary vehicle videos based on the time difference between the video recording time of the first auxiliary vehicle video and the occurrence time of the first traffic accident. The processing module is used to process the first traffic accident based on the first auxiliary vehicle video, the first vehicle information, and the first accident vehicle video.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4, or to execute the method according to any one of claims 4 to 6, when it is run.

10. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4, or to perform the method according to any one of claims 4 to 6.

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