Vehicle accident handling method, device and equipment and storage medium

Abstract

The invention relates to the technical field of vehicle management, and discloses a vehicle accident processing method, device and equipment and a storage medium, and the method comprises the steps: obtaining an accident related vehicle corresponding to a target vehicle, the target vehicle being a vehicle having a collision accident, and the accident related vehicle being a vehicle having a collision with the target vehicle; constructing an accident occurrence animation according to the vehicle information of the target vehicle and the accident associated vehicle; a responsibility identification report is generated based on the accident occurrence animation. When the accident occurs, the data can be quickly acquired to construct the accident occurrence animation, the related data of the accident does not need to be manually acquired, and the responsibility division can be automatically analyzed and quickly judged, and the responsibility identification report is generated for reference by corresponding responsibility judgment personnel, so that the vehicle collision accident can be quickly handled, the occupation of the road is reduced, and the traffic safety is improved. And traffic jam is avoided.

Description

Technical Field

[0001] The present application relates to the field of vehicle management technology, and in particular to a vehicle accident handling method, device, equipment and storage medium. Background Art

[0002] Currently, when a vehicle collision occurs, many car owners (or drivers) stay where they are and wait for the traffic police to come and determine the responsibility, which can easily lead to traffic congestion. In order to facilitate the handling of the accident, the car owners are also required to get out of the car to take pictures and save relevant on-site evidence and other information.

[0003] However, manually taking photos and submitting relevant information relies on the car owner's understanding of the relevant traffic regulations. If the understanding is insufficient, it is very easy to collect information incorrectly or miss information. In order to clarify responsibilities, more time will be needed to retrieve data later. Therefore, the overall time for accident handling is long, it is difficult to handle quickly, and the actual handling effect is not ideal. Summary of the invention

[0004] The main purpose of this application is to provide a vehicle accident handling method, device, equipment and storage medium, aiming to solve the technical problem that vehicle collision accident handling is time-consuming and difficult to handle quickly.

[0005] To achieve the above objectives, the present application proposes a vehicle accident handling method, the method comprising:

[0006] Obtaining an accident-associated vehicle corresponding to a target vehicle, wherein the target vehicle is a vehicle involved in a collision accident, and the accident-associated vehicle is a vehicle that collides with the target vehicle;

[0007] Constructing an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle;

[0008] A responsibility identification report is generated based on the accident occurrence animation.

[0009] Optionally, obtaining the accident-related vehicle corresponding to the target vehicle includes:

[0010] determining whether a safety device in the target vehicle is triggered;

[0011] If triggered, the relevant vehicle information of the target vehicle is obtained, where the relevant vehicle information is the vehicle information of other vehicles that are on the same road section as the target vehicle in the same time period;

[0012] The accident-related vehicle is determined according to the relevant vehicle information.

[0013] Optionally, determining the accident-related vehicle according to the relevant vehicle information includes:

[0014] Determine the collision moment image based on the image collected by the vehicle-mounted camera device in the target vehicle;

[0015] Determining a first angle according to the acceleration of the target vehicle, wherein the first angle is the angle between the positive direction of the target vehicle body and the direction of the resultant force of the collision on the target vehicle;

[0016] Determining a second angle based on the collision moment image, where the second angle is the angle between the positive direction of the body of the accident-related vehicle and the positive direction of the body of the target vehicle when the collision occurs;

[0017] Determine a third angle based on the first angle and the second angle;

[0018] determining an acceleration range of the accident-related vehicle according to the third angle;

[0019] Based on the acceleration interval, an accident-related vehicle is determined according to the relevant vehicle information.

[0020] Optionally, after determining whether the safety device in the target vehicle is triggered, the method further includes:

[0021] If it is not triggered, confirm whether the associated vehicle information can be determined through the image captured by the on-board camera device of the target vehicle;

[0022] If the accident-related vehicle can be determined, the image captured by the on-board camera device of the target vehicle is identified to generate related vehicle information;

[0023] The accident-related vehicle is determined according to the related vehicle information.

[0024] Optionally, if not triggered, after confirming whether the associated vehicle information can be determined through the image captured by the vehicle-mounted camera device in the target vehicle, the method further includes:

[0025] If the associated vehicle information cannot be determined, determining whether the driver of the target vehicle can provide vehicle information of the accident-associated vehicle;

[0026] If the vehicle information of the accident-related vehicle cannot be provided, then obtaining the relevant vehicle information of the target vehicle;

[0027] The accident-related vehicle is determined according to the relevant vehicle information.

[0028] Optionally, constructing the accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle includes:

[0029] Constructing a single-vehicle driving animation corresponding to the target vehicle according to the vehicle information of the target vehicle, and constructing a single-vehicle driving animation corresponding to the accident-related vehicle according to the vehicle information of the accident-related vehicle;

[0030] Taking the time axis as the splicing reference, splicing the single-vehicle driving animation corresponding to the target vehicle with the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident occurrence animation;

[0031] The single-vehicle driving animation includes at least one of the following information: vehicle model, driving road, vehicle speed, lane line, vehicle license plate, and traffic light image.

[0032] Optionally, the step of splicing the single-vehicle driving animation corresponding to the target vehicle and the single-vehicle driving animation corresponding to the accident-related vehicle using the time axis as the splicing reference to generate the accident occurrence animation includes:

[0033] Taking the time axis as a splicing reference, splicing the single-vehicle driving animation corresponding to the target vehicle with the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident simulation animation;

[0034] Based on the image captured by the on-board camera device in the target vehicle, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

[0035] Optionally, the step of calibrating the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation based on the image captured by the on-board camera device in the target vehicle to generate the accident occurrence animation includes:

[0036] Analyze the image captured by the on-board camera device of the target vehicle to determine the shortest distance between the target vehicle and surrounding vehicles at each moment, wherein the shortest distance is the minimum value of the interval distance between the two vehicle bodies;

[0037] Analyze the images collected by the on-board camera device of the accident-related vehicle to determine the shortest distance between the accident-related vehicle and surrounding vehicles at each moment;

[0038] Compare the shortest distance between the target vehicle and surrounding vehicles at each moment with the shortest distance between the accident-related vehicle and surrounding vehicles at each moment to determine the relative position between the target vehicle and the accident-related vehicle at each moment;

[0039] According to the relative position between the target vehicle and the accident-related vehicle at each moment, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle accident handling device, the device comprising:

[0041] An acquisition module, used to acquire an accident-associated vehicle corresponding to a target vehicle, wherein the target vehicle is a vehicle involved in a collision accident, and the accident-associated vehicle is a vehicle that collides with the target vehicle;

[0042] A construction module, used to construct an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle;

[0043] A generation module is used to generate a responsibility identification report based on the accident occurrence animation.

[0044] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle accident handling device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the vehicle accident handling method as described above.

[0045] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle accident handling method as described above are implemented.

[0046] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the vehicle accident handling method described above are implemented.

[0047] One or more technical solutions proposed in this application have at least the following technical effects:

[0048] Since data can be quickly collected to construct an accident animation when an accident occurs, there is no need to manually collect relevant data on the accident. It can also automatically analyze and quickly determine the division of responsibilities and generate a responsibility identification report for reference by the corresponding responsibility determination personnel, ensuring that vehicle collision accidents can be handled quickly, reducing road occupancy and avoiding traffic congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0050] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0051] Figure 1A flow chart of the first embodiment of the vehicle accident handling method of the present application;

[0052] Figure 2 A flow chart of the second embodiment of the vehicle accident handling method of the present application;

[0053] Figure 3 A schematic diagram of a collision scenario analysis according to an embodiment of the present application;

[0054] Figure 4 A flow chart of the third embodiment of the vehicle accident handling method of the present application;

[0055] Figure 5 A schematic diagram of the accident occurrence animation generation process of an embodiment of the present application;

[0056] Figure 6 A schematic diagram of an interpolation calibration scenario according to an embodiment of the present application;

[0057] Figure 7 A schematic diagram of a distance calibration scenario according to an embodiment of the present application;

[0058] Figure 8 This is a schematic diagram of the module structure of the vehicle accident handling device according to an embodiment of the present application;

[0059] Fig. 9 Schematic diagram of the device structure of the hardware operating environment involved in the vehicle accident handling method in the embodiment of the present application.

[0060] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0061] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0062] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0063] Based on this, the embodiment of the present application provides a vehicle accident handling method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the vehicle accident handling method of the present application.

[0064] In this embodiment, the vehicle accident handling method includes steps S10 to S30:

[0065] Step S10: Obtain the accident-related vehicle corresponding to the target vehicle.

[0066] It should be noted that the executor of this embodiment can be the vehicle accident handling device, or a vehicle accident handling platform composed of multiple vehicle accident handling devices. The vehicle accident handling device can be a personal computer, server and other electronic devices, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment and the following embodiments, the vehicle accident handling method of this application is explained by taking the vehicle accident handling platform as an example.

[0067] It should be noted that the target vehicle may be a vehicle that detects a collision accident and reports the accident to the vehicle accident handling platform, and the accident-related vehicle may be a vehicle that collides with the target vehicle.

[0068] In actual use, the vehicle can determine whether the vehicle has an accident by monitoring its own vehicle acceleration, speed change, airbag deployment, camera recognition, vehicle gear change, button triggering, etc. When an accident occurs, it will report to the vehicle accident handling platform, and the vehicle can be used as the target vehicle. After the vehicle accident handling platform determines the target vehicle, it will find the vehicle that collided with the target vehicle based on the information submitted by the target vehicle or by detecting surrounding vehicles, thereby determining the accident-related vehicle.

[0069] Step S20: constructing an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle.

[0070] It should be noted that after determining the target vehicle and the accident-related vehicles, the vehicle accident handling platform can construct an animation based on the vehicle information of the two vehicles, and restore the scene when the two vehicles collided by constructing an accident animation, so as to facilitate subsequent responsibility tracing or facilitate relevant personnel to divide and judge responsibilities.

[0071] Among them, vehicle information may include vehicle navigation information, vehicle model information and other information. If necessary, the vehicle information may also include data collected by various sensors in the vehicle, images collected by on-board cameras (such as a driving recorder or a 360-degree panoramic imaging system) and other information.

[0072] Step S30: Generate a responsibility assessment report based on the accident occurrence animation.

[0073] It should be noted that the vehicle accident handling platform may also be provided with responsibility determination rules or responsibility determination models. The responsibility determination model may be a pre-trained neural network model or a deep learning model, and different responsibility determination models may be provided for different accident types.

[0074] In actual use, the vehicle accident handling platform can conduct responsibility analysis on the constructed accident occurrence animation through responsibility determination rules or responsibility determination models, and thus issue a responsibility identification report.

[0075] Among them, the accident animation and responsibility identification report generated by the vehicle accident handling platform can play an auxiliary role to assist the relevant responsibility determination personnel in dividing the responsibilities. In order to facilitate the tracing of specific scenes, the vehicle accident handling platform can also record relevant vehicle information (such as collected images, sensor information, etc.), which can be retrieved and viewed when the responsibility determination personnel need it, in order to analyze the specific responsibilities.

[0076] This embodiment provides a vehicle accident handling method. Since data can be quickly collected to construct an accident animation when an accident occurs, there is no need to manually collect relevant data on the accident. It can also automatically analyze and quickly determine the division of responsibilities and generate a responsibility identification report for reference by the corresponding responsibility determination personnel, thereby ensuring that vehicle collision accidents can be handled quickly, reducing road occupancy and avoiding traffic congestion.

[0077] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 , step S10 includes steps S101 to S03:

[0078] Step S101: Determine whether a safety device in a target vehicle is triggered.

[0079] It should be noted that the safety device may be an emergency response device installed in the vehicle to ensure the safety of the people in the vehicle when an accident occurs, such as airbags, knee airbags, pre-tensioned seat belts, etc. The triggering of the safety device is generally only triggered when the accident is more serious. Whether the current accident is serious can be determined by whether the safety device is triggered, thereby determining whether the relevant people in the vehicle can assist in the judgment.

[0080] Step S102: If triggered, obtain relevant vehicle information of the target vehicle.

[0081] It should be noted that the relevant vehicle information may be vehicle information of other vehicles that are on the same road section as the target vehicle in the same time period.

[0082] Step S103: Determine the accident-related vehicle according to the relevant vehicle information.

[0083] It is understandable that since the safety device in the target vehicle is triggered, it can be determined that the accident is already quite serious at this time. At this time, the accident cannot be judged with the assistance of relevant personnel in the vehicle, and it is necessary to check the surrounding vehicles to determine the vehicles related to the accident. Therefore, the relevant vehicle information of the target vehicle can be obtained to facilitate the investigation and determination of the vehicles related to the accident.

[0084] It should be noted that after obtaining the relevant vehicle information, the relevant vehicle information can be matched to determine whether there are any vehicles that have experienced an abnormality or are suspected of having a collision, thereby determining the accident-related vehicles.

[0085] In a specific implementation, in order to ensure that the accident-related vehicles can be accurately matched, step S103 in this embodiment may include:

[0086] Determine the collision moment image based on the image collected by the vehicle-mounted camera device in the target vehicle;

[0087] Determining a first angle according to the acceleration of the target vehicle;

[0088] determining a second angle based on the collision moment image;

[0089] Determine a third angle based on the first angle and the second angle;

[0090] determining an acceleration range of the accident-related vehicle according to the third angle;

[0091] Based on the acceleration interval, an accident-related vehicle is determined according to the relevant vehicle information.

[0092] It should be noted that the first angle is the angle between the positive direction of the target vehicle's body (i.e. the direction from the rear of the body to the front of the body) and the direction of the resultant force of the collision on the target vehicle (i.e. the direction of the resultant force of the target vehicle's own driving force and the collision force after the collision); the second angle is the angle between the positive direction of the accident-related vehicle's body and the positive direction of the target vehicle's body when a collision occurs.

[0093] In actual use, the image collected by the on-board camera device of the target vehicle can be analyzed first to determine the image at the moment of collision, thereby obtaining the image at the moment of collision. The first angle can be calculated and determined by performing corresponding separation according to the acceleration collected by the acceleration sensor of the target vehicle; the second angle can be determined according to the positive direction of the body of the target vehicle and the positive direction of the body of the accident-related vehicle in the image at the moment of collision. After that, the third angle can be obtained by subtracting the first angle from the second angle. The third angle actually represents the angle at which the resultant force of the target vehicle changes due to the collision between the accident-related vehicle and the target vehicle when the collision occurs. The mass range of the two vehicles can actually be determined (such as determined according to the model, passengers, load, etc.), so the acceleration range of the accident-related vehicle can be calculated.

[0094] It is understandable that after the acceleration interval of the accident-related vehicle is determined, the acceleration interval can be used to match the relevant vehicle information to determine the accident-related vehicle.

[0095] For ease of understanding, now combined Figure 3 This is an example for illustration, but not a limitation of the present invention. Figure 3 The following is a schematic diagram of the collision scene analysis of this embodiment. When the collision occurs, the safety device of vehicle A (i.e., the target vehicle) has been triggered and the relevant vehicle information of vehicle A has been obtained; vehicle B (i.e., the accident-related vehicle) cannot be matched due to the lack of a clear license plate image collected by vehicle A, the license plate is blocked, or only a temporary license plate is carried. When the collision occurs, the relative positions of vehicle A (i.e., the target vehicle) and vehicle B (i.e., the accident-related vehicle) are as follows: Figure 3 a. x1 is the positive direction of the body of car A, y1 is the direction perpendicular to the positive direction of the body of car A, similarly, x2 is the positive direction of the body of car B, y2 is the direction perpendicular to the positive direction of the body of car A, F is the direction of the resultant force of the collision on car A, ax1 is the acceleration component of car A in the x1 direction, ay1 is the acceleration component of car A in the y1 direction, similarly, ax2 is the acceleration component of car B in the x2 direction, ay2 is the acceleration component of car B in the y2 direction;

[0096] On this basis, mechanical analysis can be carried out to determine:

[0097] ax1=(F / m1)*cosθ1

[0098] ay1=(F / m1)*sinθ1

[0099] ax2=(-F / m2)*cosθ2

[0100] ay2=(-F / m2)*sinθ2

[0101] By comparing the above x-direction and y-direction accelerations, we can determine:

[0102] ax2 / ax1=-(m1 / m2)*(cosθ2 / cosθ1)

[0103] ay2 / ay1=-(m1 / m2)*(sinθ2 / sinθ1)

[0104] Therefore, the acceleration relationship between car B and car A in the x-direction and y-direction can be expressed as:

[0105] ax2=-(m1 / m2)*(cosθ2 / cosθ1)*ax1

[0106] ay2=-(m1 / m2)*(sinθ2 / sinθ1)*ay1

[0107] Among them, m1 is the mass of car A, m2 is the mass of car B, θ1 is the above-mentioned first angle, and θ2 is the above-mentioned third angle.

[0108] On this basis, the scene can be simplified as follows: Figure 3 As shown in b, the relationship between the three angles can be θ1=θ2+θ3.

[0109] And θ1 can be calculated by the ratio of ax1 to ay1:

[0110] ax1 / ay1=cosθ1 / sinθ1=cotθ1

[0111] Ax1 and ay1 can be determined by the acceleration sensor in car A, from which θ1 can be calculated; the second angle θ3 can be determined by the image at the moment of collision, from which the third angle θ2 can be calculated. m1 can be determined based on its own data, such as the number of passengers identified and the weight of the vehicle body; m2 can be identified by the camera data of car A, and the mass range can be estimated based on the different types of vehicles and the number of passengers that may be on board, so as to obtain the ratio range of m1 and m2. Therefore, the acceleration range value of the accident-related vehicle can be obtained by combining the third angle θ2 for calculation. The accident handling platform can quickly match the accident-related vehicle by searching for matching information uploaded by vehicles on the same section of the same period based on the acceleration range value.

[0112] In a specific implementation, if the accident is not serious, the personnel in the target vehicle may be used to assist in determining the accident-related vehicle. In this case, after step S101 in this embodiment, the following may also be included:

[0113] If it is not triggered, confirm whether the associated vehicle information can be determined through the image captured by the on-board camera device of the target vehicle;

[0114] If the accident-related vehicle can be determined, the image captured by the on-board camera device of the target vehicle is identified to generate related vehicle information;

[0115] The accident-related vehicle is determined according to the related vehicle information.

[0116] It should be noted that the associated vehicle information can be information that can uniquely represent the vehicle, such as the vehicle license plate number. If the safety device in the target vehicle is not triggered, it means that the severity of the accident is low at this time, and the personnel in the target vehicle can assist in the accident determination. At this time, the accident-associated vehicle can be identified by collecting images. Therefore, it can be confirmed first whether the associated vehicle information can be determined through the images collected by the on-board camera device in the target vehicle, for example: determine whether the on-board camera device in the target vehicle clearly captures the license plate number and other information of the accident-associated vehicle.

[0117] In actual use, if the associated vehicle information can be determined through the image captured by the on-board camera device in the target vehicle, it means that the license plate number and other information of the accident-related vehicle have been clearly captured at this time. Therefore, the image captured by the on-board camera device in the target vehicle can be identified to generate the associated vehicle information.

[0118] In actual application, since errors may occur in identification, a prompt can be given after the associated vehicle information is generated, and the personnel in the vehicle can further confirm whether the associated vehicle information is correct, and then determine the accident-associated vehicle based on the associated vehicle information. For example: obtain the image captured by the on-board camera device of the target vehicle, identify it, and determine that the license plate number is "XX". At this time, the target vehicle can be controlled to pop up a prompt and ask whether the license plate number of the accident-associated vehicle is "XX". After confirmation by the personnel in the target vehicle, the accident-associated vehicle is determined by the license plate number "XX".

[0119] In actual applications, collision accidents may also be misidentified. For example, if the driver brakes suddenly, it may lead to the misjudgment of a collision accident. If the safety device in the target vehicle is not triggered, the target vehicle can also be controlled to pop up a prompt to allow the personnel in the target vehicle to determine whether the target vehicle has an accident. When an accident occurs, it is confirmed whether the related vehicle information can be determined through the image captured by the on-board camera device in the target vehicle.

[0120] In specific applications, some situations may make it impossible to determine the associated vehicle information based on the collected image, for example: no clear license plate image is collected, the accident-related vehicle blocks the license plate, or the accident-related vehicle only carries a temporary license plate, etc. At this time, you can try to ask the personnel in the target vehicle to provide the associated vehicle information. Therefore, if it is not triggered, after confirming whether the associated vehicle information can be determined through the image collected by the vehicle-mounted camera device in the target vehicle, the following may also be included:

[0121] If the associated vehicle information cannot be determined, determining whether the driver of the target vehicle can provide vehicle information of the accident-associated vehicle;

[0122] If the vehicle information of the accident-related vehicle cannot be provided, then obtaining the relevant vehicle information of the target vehicle;

[0123] The accident-related vehicle is determined according to the relevant vehicle information.

[0124] It should be noted that if it is determined that the associated vehicle information cannot be determined through the images captured by the on-board camera device in the target vehicle, then corresponding prompts can be given at this time (such as controlling the target vehicle to provide a pop-up prompt) to determine whether the personnel (driver or passenger) in the target vehicle can provide the vehicle information of the accident-related vehicle. If the vehicle information of the accident-related vehicle cannot be provided (such as the driver or passenger did not record the vehicle information of the accident-related vehicle due to nervousness or lack of attention), then an investigation is required to determine the accident-related vehicle. Therefore, the relevant vehicle information of the target vehicle can be obtained, and then an investigation is performed based on the relevant vehicle information to determine the accident-related vehicle.

[0125] Among them, the specific implementation process of determining the accident-related vehicles based on relevant vehicle information is similar to the above description. The specific implementation can refer to the above description and will not be repeated here.

[0126] This embodiment provides a vehicle accident handling method. Since different methods can be used to check and determine accident-related vehicles in response to different situations, it is ensured that the method can be applied to various accident scenarios.

[0127] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above description, and will not be described in detail later. Figure 4 , step S20 includes steps S201 to S202:

[0128] Step S201: constructing a single-vehicle driving animation corresponding to the target vehicle according to the vehicle information of the target vehicle, and constructing a single-vehicle driving animation corresponding to the accident-related vehicle according to the vehicle information of the accident-related vehicle.

[0129] It should be noted that the single-vehicle driving animation may include at least one of the following information: vehicle model, driving road, vehicle speed, lane line, vehicle license plate, and traffic light image.

[0130] Step S202: Using the time axis as a splicing reference, splice the single-vehicle driving animation corresponding to the target vehicle and the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident occurrence animation.

[0131] In actual use, the time axis can be used as the splicing basis to splice and merge the single-vehicle driving animation corresponding to the target vehicle and the single-vehicle driving animation corresponding to the accident-related vehicle at the same time, thereby generating an accident occurrence animation.

[0132] For ease of understanding, now combined Figure 5 This is for illustration only, but not for limitation. Figure 5 This is a schematic diagram of the accident occurrence animation generation process of this embodiment.

[0133] like Figure 5 As shown, the vehicle model, driving road and lane images can be generated according to the vehicle navigation information and vehicle model information (such as vehicle model, etc., different vehicle models can be set for different vehicle models, or the same display model can be uniformly used) in the vehicle information of the target vehicle, and the corresponding vehicle speed can be displayed. After that, according to the camera information (such as the driving recorder DVR, that is, the image collected by the vehicle-mounted camera device in the target vehicle), the lane line type on both sides of the constructed vehicle driving lane is refreshed. After that, the constructed image can be further updated according to the vehicle license plate information and signal light information (such as the brake lights and turn signals of the target vehicle), and the vehicle license plate and signal light images can be displayed, so as to generate a single-vehicle driving animation of the target vehicle;

[0134] The same operation can be used to generate a single-vehicle driving animation corresponding to the accident-related vehicle. Afterwards, based on the timeline, the single-vehicle driving animation corresponding to the target vehicle and the single-vehicle driving animation corresponding to the accident-related vehicle can be merged to generate the final accident restoration animation, that is, the accident occurrence animation.

[0135] It should be noted that the single-vehicle driving animation can be generated by the accident handling platform, or it can be generated by each vehicle itself and then uploaded to the accident handling platform after generation. This embodiment does not impose any restrictions on this.

[0136] In a specific implementation, due to navigation accuracy issues, if the navigation data is directly used to stitch the vehicle animation, there may be a large error. To avoid such an error, step S202 in this embodiment may include:

[0137] Taking the time axis as a splicing reference, splicing the single-vehicle driving animation corresponding to the target vehicle with the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident simulation animation;

[0138] Based on the image captured by the on-board camera device in the target vehicle, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

[0139] It should be noted that due to the problem of navigation accuracy, if navigation data is used directly to splice vehicle animations, there may be large errors. In order to avoid such errors, the images captured by the on-board camera of the target vehicle can be used to perform real-time calibration of the relative positions of the two vehicles in the spliced ​​animation, and the calibrated animation can be used as the accident animation.

[0140] In the specific implementation, calibration can be performed by weighted prediction interpolation or by relative distance. Figure 6 and 7 This is for illustration only, but not for limitation. Figure 6 FIG. 4 is a schematic diagram of an interpolation calibration scenario of this embodiment. Figure 7 FIG. 4 is a schematic diagram of a distance calibration scenario in this embodiment.

[0141] like Figure 6 As shown in the figure, when the vehicles are traveling in parallel or due to other vehicles blocking the front vehicle, the rear vehicle cannot recognize the license plate and distance information of the front vehicle, and the weighted prediction interpolation can be performed through the closest recognition time (T1 and T2). The specific calculation method is as follows:

[0142] At time T1, the relative position of the two vehicles is identified as (L1, θ1), and the relative position of the two vehicles in the accident simulation animation is (L1', θ1'), and the difference between the two is (ΔL1=L1-L1', Δθ1=θ1-θ1');

[0143] At time T2, the relative position of the two vehicles is identified as (L2, θ2), and the relative position of the two vehicles in the accident simulation animation is (L2', θ2'), and the difference between the two is (ΔL2=L2-L2', Δθ2=θ2-θ2');

[0144] For a certain moment Tm between T1 and T2, the difference between T1 and T2 is used to perform weight calculation and predictive interpolation, so as to obtain a more accurate relative position of the two vehicles at the moment Tm and calibrate the simulation animation.

[0145] ΔLm=ΔL2*(Tm-T1) / (T2-T1)+ΔL1*(1-(Tm-T1) / (T2-T1))

[0146] Δθm=Δθ2*(Tm-T1) / (T2-T1)+Δθ1*(1-(Tm-T1) / (T2-T1))

[0147] Therefore, the relative position of the two vehicles after calibration at time Tm should be:

[0148] Lm=Lm'+ΔLm

[0149] θm=θm'+Δθm

[0150] Thereby, the accident simulation animation can be calibrated to generate an accident occurrence animation.

[0151] In a specific implementation, the relative distance determined by the image captured by the vehicle-mounted camera device may also be used for calibration. In this case, the step of calibrating the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation based on the image captured by the vehicle-mounted camera device in the target vehicle and generating the accident occurrence animation in this embodiment may include:

[0152] Analyze the images collected by the on-board camera device of the target vehicle to determine the shortest distance between the target vehicle and surrounding vehicles at each moment;

[0153] Analyze the images collected by the on-board camera device of the accident-related vehicle to determine the shortest distance between the accident-related vehicle and surrounding vehicles at each moment;

[0154] Compare the shortest distance between the target vehicle and surrounding vehicles at each moment with the shortest distance between the accident-related vehicle and surrounding vehicles at each moment to determine the relative position between the target vehicle and the accident-related vehicle at each moment;

[0155] According to the relative position between the target vehicle and the accident-related vehicle at each moment, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

[0156] It should be noted that the closest distance is the minimum value of the distance between the two vehicle bodies. For ease of understanding, a 360-degree panoramic monitoring (Around View Monitor, AVM) system is used as an example for explanation:

[0157] At a certain moment, the AVM system of vehicle B (i.e., the accident-related vehicle) monitors that the closest distances to the left adjacent vehicles A1 / A / A2 are La1 / La / La2 respectively (e.g., Figure 7 a); at the same time, the AVM system of vehicle A (i.e., the target vehicle) monitors that the closest distances to the right adjacent vehicles B1 / B / B2 are Lb1 / Lb / Lb2 respectively (as shown in Figure 7 b), and it is recognized that La=Lb, then La / Lb is determined to be the shortest distance between car A and car B and the corresponding vehicles are car A and car B, then the distance and position relationship can be used to perform real-time calibration on the accident simulation animation.

[0158] When the scheme is used, the time when the collision accident occurs can be determined, and the time is recorded as T, and the information such as the collision acceleration direction between the target vehicle and the accident-related vehicle can be determined, and the relative position relationship between the target vehicle and the accident-related vehicle can be obtained. From time T to time Tn minutes, the AVM system image in the corresponding direction is searched in reverse order at a certain time interval and matched and calibrated. Among them, n is the value preset by the manager of the vehicle accident handling platform, such as setting n to 3.

[0159] This embodiment provides a vehicle accident processing method. Since calibration can be performed when constructing the animation, the effectiveness of the accident occurrence animation can be improved.

[0160] This application also provides a vehicle accident handling device, please refer to Figure 8 , the vehicle accident handling device comprises:

[0161] An acquisition module 10 is used to acquire an accident-related vehicle corresponding to a target vehicle, wherein the target vehicle is a vehicle involved in a collision accident, and the accident-related vehicle is a vehicle that collides with the target vehicle;

[0162] A construction module 20, configured to construct an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle;

[0163] The generating module 30 is used to generate a responsibility identification report based on the accident occurrence animation.

[0164] The vehicle accident handling device provided by the present application adopts the vehicle accident handling method in the above-mentioned embodiment, which can solve the technical problem that the handling of vehicle collision accidents takes a long time and is difficult to handle quickly. Compared with the prior art, the beneficial effects of the vehicle accident handling device provided by the present application are the same as the beneficial effects of the vehicle accident handling method provided by the above-mentioned embodiment, and the other technical features in the vehicle accident handling device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0165] The present application provides a vehicle accident handling device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the vehicle accident handling method in the above-mentioned embodiment one.

[0166] Reference below Fig. 9, which shows a schematic diagram of the structure of a vehicle accident handling device suitable for implementing the embodiment of the present application. The vehicle accident handling device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig. 9 The vehicle accident handling device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0167] like Fig. 9 As shown, the vehicle accident processing device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the vehicle accident processing device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vehicle accident processing device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a vehicle accident processing device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0168] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0169] The vehicle accident handling device provided by the present application adopts the vehicle accident handling method in the above embodiment, which can solve the technical problem that the handling of vehicle collision accidents takes a long time and is difficult to handle quickly. Compared with the prior art, the beneficial effects of the vehicle accident handling device provided by the present application are the same as the beneficial effects of the vehicle accident handling method provided by the above embodiment, and the other technical features in the vehicle accident handling device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0170] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0171] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0172] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the vehicle accident handling method in the above-mentioned embodiment.

[0173] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0174] The computer-readable storage medium may be included in the vehicle accident handling device; or may exist independently without being assembled into the vehicle accident handling device.

[0175] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the vehicle accident handling device, the vehicle accident handling device: obtains the accident-related vehicle corresponding to the target vehicle, the target vehicle is the vehicle involved in the collision accident, and the accident-related vehicle is the vehicle that collides with the target vehicle; constructs an accident occurrence animation based on the vehicle information of the target vehicle and the accident-related vehicle; and generates a responsibility identification report based on the accident occurrence animation.

[0176] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0177] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0178] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0179] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned vehicle accident handling method, and can solve the technical problem that vehicle collision accident handling takes a long time and is difficult to handle quickly. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the vehicle accident handling method provided by the above-mentioned embodiment, and will not be repeated here.

[0180] The present application also provides a computer program product, including a computer program, which implements the steps of the vehicle accident handling method as described above when executed by a processor.

[0181] The computer program product provided by the present application can solve the technical problem that the handling of vehicle collision accidents takes a long time and is difficult to handle quickly. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the vehicle accident handling method provided by the above embodiment, and will not be repeated here.

[0182] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A vehicle accident handling method, characterized in that: The method comprises: Obtaining an accident-associated vehicle corresponding to a target vehicle, wherein the target vehicle is a vehicle involved in a collision accident, and the accident-associated vehicle is a vehicle that collides with the target vehicle; Constructing an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle; A responsibility identification report is generated based on the accident occurrence animation.

2. The vehicle accident handling method according to claim 1, characterized in that: The step of obtaining the accident-related vehicle corresponding to the target vehicle includes: determining whether a safety device in the target vehicle is triggered; If triggered, the relevant vehicle information of the target vehicle is obtained, where the relevant vehicle information is the vehicle information of other vehicles that are on the same road section as the target vehicle in the same time period; The accident-related vehicle is determined according to the relevant vehicle information.

3. The vehicle accident handling method according to claim 2, characterized in that: The determining the accident-related vehicle according to the relevant vehicle information includes: Determine the collision moment image based on the image collected by the vehicle-mounted camera device in the target vehicle; Determining a first angle according to the acceleration of the target vehicle, wherein the first angle is the angle between the positive direction of the target vehicle body and the direction of the resultant force of the collision on the target vehicle; Determining a second angle based on the collision moment image, where the second angle is the angle between the positive direction of the body of the accident-related vehicle and the positive direction of the body of the target vehicle when the collision occurs; Determine a third angle based on the first angle and the second angle; determining an acceleration range of the accident-related vehicle according to the third angle; Based on the acceleration interval, an accident-related vehicle is determined according to the relevant vehicle information.

4. The vehicle accident handling method according to claim 2, characterized in that: After determining whether the safety device in the target vehicle is triggered, the method further includes: If it is not triggered, confirm whether the associated vehicle information can be determined through the image captured by the on-board camera device of the target vehicle; If the accident-related vehicle can be determined, the image captured by the on-board camera device of the target vehicle is identified to generate related vehicle information; The accident-related vehicle is determined according to the related vehicle information.

5. The vehicle accident handling method according to claim 3, characterized in that: If it is not triggered, after confirming whether the associated vehicle information can be determined through the image captured by the vehicle-mounted camera device in the target vehicle, the method further includes: If the associated vehicle information cannot be determined, determining whether the driver of the target vehicle can provide vehicle information of the accident-associated vehicle; If the vehicle information of the accident-related vehicle cannot be provided, then obtaining the relevant vehicle information of the target vehicle; The accident-related vehicle is determined according to the relevant vehicle information.

6. The vehicle accident handling method according to any one of claims 1 to 5, characterized in that: The constructing the accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle comprises: Constructing a single-vehicle driving animation corresponding to the target vehicle according to the vehicle information of the target vehicle, and constructing a single-vehicle driving animation corresponding to the accident-related vehicle according to the vehicle information of the accident-related vehicle; Taking the time axis as the splicing reference, splicing the single-vehicle driving animation corresponding to the target vehicle with the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident occurrence animation; The single-vehicle driving animation includes at least one of the following information: vehicle model, driving road, vehicle speed, lane line, vehicle license plate, and traffic light image.

7. The vehicle accident handling method according to claim 6, characterized in that: The step of splicing the single-vehicle driving animation corresponding to the target vehicle and the single-vehicle driving animation corresponding to the accident-related vehicle using the time axis as the splicing reference to generate the accident occurrence animation includes: Taking the time axis as a splicing reference, splicing the single-vehicle driving animation corresponding to the target vehicle with the single-vehicle driving animation corresponding to the accident-related vehicle to generate an accident simulation animation; Based on the image captured by the on-board camera device in the target vehicle, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

8. The vehicle accident handling method according to claim 7, characterized in that: The step of calibrating the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation based on the image captured by the vehicle-mounted camera device in the target vehicle to generate the accident occurrence animation includes: Analyze the image captured by the on-board camera device of the target vehicle to determine the shortest distance between the target vehicle and surrounding vehicles at each moment, wherein the shortest distance is the minimum value of the interval distance between the two vehicle bodies; Analyze the images collected by the on-board camera device of the accident-related vehicle to determine the shortest distance between the accident-related vehicle and surrounding vehicles at each moment; Compare the shortest distance between the target vehicle and surrounding vehicles at each moment with the shortest distance between the accident-related vehicle and surrounding vehicles at each moment to determine the relative position between the target vehicle and the accident-related vehicle at each moment; According to the relative position between the target vehicle and the accident-related vehicle at each moment, the relative position between the target vehicle and the accident-related vehicle in the accident simulation animation is calibrated to generate an accident occurrence animation.

9. A vehicle accident handling device, characterized in that: The device comprises: An acquisition module, used to acquire an accident-associated vehicle corresponding to a target vehicle, wherein the target vehicle is a vehicle involved in a collision accident, and the accident-associated vehicle is a vehicle that collides with the target vehicle; A construction module, used to construct an accident occurrence animation according to the vehicle information of the target vehicle and the accident-related vehicle; A generation module is used to generate a responsibility identification report based on the accident occurrence animation.

10. A vehicle accident handling device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the vehicle accident handling method according to any one of claims 1 to 8.

11. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the vehicle accident handling method according to any one of claims 1 to 8 are implemented.

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