CN111368752A - Vehicle damage analysis method and device - Google Patents
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Abstract
The application discloses a method and a device for analyzing vehicle damage. The method comprises the following steps: simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; and determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects. Through the method and the device, the problems that in the related technology, the vehicle image is adopted to identify the vehicle damage, and the damage identification result is inaccurate are solved.
Description
Technical Field
The application relates to the technical field of vehicle damage analysis, in particular to a vehicle damage analysis method and device.
Background
After a traffic accident occurs, vehicle damage needs to be recognized, machine learning is mainly utilized to train marked vehicle damage pictures in the related technology to form a corresponding inference model, and then damage recognition is carried out on newly input pictures through the model to form a corresponding result.
However, in the vehicle damage identification method in the related art, on one hand, models need to be respectively established for different vehicle types and vehicle series, the requirements on the quantity and quality of data are high, great manpower and material resources need to be spent for perfecting the database, and higher-quality data are provided. On the other hand, the recognition effect of the existing image recognition technology on a single photo is influenced by a plurality of factors such as shooting angle, definition, exposure degree of damage in the photo and the like, the recognition of the whole case with vehicle damage is influenced by the coverage degree of the photo, and the recognition effect of the whole vehicle damage is unstable. In addition, in the case that the insurance person modifies the damage trace, the vehicle damage identification method in the related art is difficult to identify, and the vehicle damage identification effect is inaccurate.
Aiming at the problems that in the related art, the vehicle image is adopted to identify the vehicle damage, and the damage identification result is inaccurate, an effective solution is not provided at present.
Disclosure of Invention
The application provides a vehicle damage analysis method and device, and aims to solve the problems that in the related technology, a vehicle picture is adopted to identify vehicle damage, and damage identification results are inaccurate.
According to one aspect of the present application, a method of analyzing vehicle damage is provided. The method comprises the following steps: simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; and determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
Optionally, before simulating the accident scene based on the photo and/or video of the accident scene where the target vehicle is located, the method further includes: and shooting the photos and/or videos of the accident scene by adopting a 3D camera according to a preset depth of field condition, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
Optionally, simulating the accident scene based on the photo and/or video of the accident scene where the target vehicle is located, and obtaining the simulated scene includes: screening photos and/or videos with the coincidence degree of the characteristic points meeting the preset requirement from the photos and/or videos of the accident site; and simulating the accident scene based on the pictures and/or videos obtained by screening to obtain a simulated scene.
Optionally, determining the damage characteristic of the target vehicle and the damage characteristic of each scene object in the simulated scene includes: positioning each part of the target vehicle and each scene object in the simulated scene; identifying damage features in the simulated scene and locating the damage features; and determining the damage characteristics of the target vehicle and the damage characteristics of each scene object according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage characteristics in the simulated scene.
Optionally, before determining the damage of the target vehicle based on the correlation between the damage characteristic of the target vehicle and the damage characteristic of each scene object, the method further includes: at least recording vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle; at least the damaged scene object, the damage type, the damage degree and the damage orientation of the damaged scene object are recorded.
Optionally, the determining the damage of the target vehicle based on the correlation between the damage characteristic of the target vehicle and the damage characteristic of each scene object includes: determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle; and verifying whether the damage of the target vehicle is reasonable or not through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of each scene object.
Optionally, verifying whether the damage of the target vehicle is reasonable through the association relationship characterization between the damage characteristics of the target vehicle and the damage characteristics of the scene objects: judging whether the damage of the target vehicle part is matched with the damage of the target scene object or not at least according to the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part; determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object; and under the condition that the damage of the target vehicle part is not matched with the damage of the target scene object, determining that the estimated damage of the target vehicle part is unreasonable.
According to another aspect of the present application, there is provided an apparatus for analyzing damage to a vehicle. The device includes: the simulation unit is used for simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; the first determining unit is used for determining the damage characteristics of the target vehicle and the damage characteristics of each scene object in the simulated scene; and the second determination unit is used for determining the damage of the target vehicle based on the incidence relation between the damage characteristic of the target vehicle and the damage characteristic of each scene object.
In order to achieve the above object, according to another aspect of the present application, there is provided a storage medium including a stored program, wherein the program performs any one of the above-described vehicle damage analysis methods.
In order to achieve the above object, according to another aspect of the present application, there is provided a processor for executing a program, wherein the program executes any one of the above analysis methods for vehicle damage.
Through the application, the following steps are adopted: simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; the damage of the target vehicle is determined based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of each scene object, and the problems that in the related technology, the vehicle damage is identified by adopting a vehicle picture, and the damage identification result is inaccurate are solved. The damage of the target vehicle is determined through the damage characteristics of the target vehicle and the damage characteristics of each scene object, and therefore the effect of improving the accuracy of the damage identification result is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for analyzing vehicle damage provided in accordance with an embodiment of the present application; and
fig. 2 is a schematic diagram of a vehicle damage analysis device provided according to an embodiment of the application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present application, a method of analyzing vehicle damage is provided.
Fig. 1 is a flowchart of a method for analyzing vehicle damage according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and obtaining a simulated scene.
Specifically, the camera can be used for surrounding the whole accident vehicle license plate and/or shooting a video, and the obtained picture and/or video is used as basic data for simulating an accident scene.
In order to reduce the interference difference caused by shooting different from person to person in different case sites, optionally, in the analysis method for vehicle damage provided in this embodiment of the application, before simulating an accident site based on a picture and/or a video of the accident site where the target vehicle is located to obtain a simulated scene, the method further includes: and shooting the photos and/or videos of the accident scene by adopting a 3D camera according to a preset depth of field condition, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
Specifically, a mobile phone with a 3D camera function or a plug-in 3D depth of field camera can be used to photograph and/or record a video of an accident scene, and in addition, since depth of field calculation and superposition need to meet the requirement of specific matching in the process of simulating a scene, photographing is performed according to a preset depth of field condition in the photographing process.
Optionally, in the method for analyzing vehicle damage provided in the embodiment of the present application, the obtaining a simulated scene based on the photo and/or the video of the accident scene where the target vehicle is located by simulating the accident scene includes: screening photos and/or videos with the coincidence degree of the characteristic points meeting the preset requirement from the photos and/or videos of the accident site; and simulating the accident scene based on the pictures and/or videos obtained by screening to obtain a simulated scene.
For example, pictures and/or videos with shooting radian ranges smaller than 20 degrees can be screened out and uploaded to a scene simulation system, so that basic data can meet the requirement of screening feature point coincidence, and the scene simulation system can conveniently perform matching calculation detection and splicing on the pictures or videos.
Step S102, determining the damage characteristics of the target vehicle and the damage characteristics of each scene object in the simulated scene.
Optionally, in the analysis method for vehicle damage provided in the embodiment of the present application, determining the damage characteristic of the target vehicle and the damage characteristic of each scene object in the simulated scene includes: positioning each part of the target vehicle and each scene object in the simulated scene; identifying damage features in the simulated scene and locating the damage features; and determining the damage characteristics of the target vehicle and the damage characteristics of each scene object according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage characteristics in the simulated scene.
Specifically, locating each part of the target vehicle may include locating a vehicle head, a vehicle tail, a vehicle left side, a vehicle right side, and the like, and locating each scene object may include locating a railing, a cement pier, a tree, and the like at an accident site. The impairment features in the simulated scene may include multiple types: such as scratches, dents, deformations and the like, respectively, the position of each part of the target vehicle and the position of each scene object are correlated with the damage characteristics, and the correlation between the target vehicle and the scene object and the damage characteristics is confirmed, so that the damage characteristics of the target vehicle and the damage characteristics of each scene object are determined.
Step S103, determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
Optionally, in the analysis method for vehicle damage provided in the embodiment of the present application, determining damage of the target vehicle based on an incidence relation between the damage characteristic of the target vehicle and the damage characteristic of each scene object includes: determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle; and verifying whether the damage of the target vehicle is reasonable or not through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of each scene object.
Specifically, the damage condition of the target vehicle appearance accessory can be detected by using image recognition, whether the damage condition of the vehicle appearance accessory is reasonable or not can be inferred based on the incidence relation between the damage characteristics of the target vehicle and the scene object, and the damage of the target vehicle can be finally determined, so that automatic damage assessment and risk control and verification are achieved.
Optionally, in the analysis method for vehicle damage provided in the embodiment of the present application, before determining the damage of the target vehicle based on the association relationship between the damage characteristic of the target vehicle and the damage characteristic of each scene object, the method includes: at least recording vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle; at least the damaged scene object, the damage type, the damage degree and the damage orientation of the damaged scene object are recorded.
Specifically, information corresponding to different damage characteristics of the target vehicle and information corresponding to the damaged scene object are recorded, a damage scene knowledge graph containing the target vehicle and the scene object (person, object) is established, and a data basis is laid for final determination of vehicle damage.
Optionally, in the analysis method for vehicle damage provided in the embodiment of the present application, verifying whether damage of the target vehicle is reasonable according to the incidence relation characterization between the damage characteristic of the target vehicle and the damage characteristic of each scene object includes: judging whether the damage of the target vehicle part is matched with the damage of the target scene object or not at least according to the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part; determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object; and under the condition that the damage of the target vehicle part is not matched with the damage of the target scene object, determining that the estimated damage of the target vehicle part is unreasonable.
For example, the damaged target vehicle part is a left front door of the vehicle, the damage type is scratch, the damage height is 40 centimeters, the damage of the target vehicle in the accident is estimated to be left front door scratch, it is recognized that the target scene object related to the target vehicle only contains cement piers, the damage type is scratch, the damage height is 10 centimeters, and the estimated damage of the left front door scratch is unreasonable because the left front door cannot scratch the cement piers with the damage height of 10 centimeters under the condition that the damage height is 40 centimeters.
According to the embodiment, whether the estimated damage is reasonable or not is judged by judging whether the damage association is established or not according to the damage scene knowledge graph, and a collision logic conclusion and a damage list are generated, so that the damage assessment efficiency and the damage assessment accuracy are improved.
According to the analysis method for the vehicle damage, the accident scene is simulated by pictures and/or videos based on the accident scene where the target vehicle is located, and a simulated scene is obtained; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; the damage of the target vehicle is determined based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of each scene object, and the problems that in the related technology, the vehicle damage is identified by adopting a vehicle picture, and the damage identification result is inaccurate are solved. The damage of the target vehicle is determined through the damage characteristics of the target vehicle and the damage characteristics of each scene object, and therefore the effect of improving the accuracy of the damage identification result is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the present application further provides an analysis apparatus for vehicle damage, and it should be noted that the analysis apparatus for vehicle damage in the embodiment of the present application may be used to execute the analysis method for vehicle damage provided in the embodiment of the present application. The following describes a vehicle damage analysis device according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an apparatus for analyzing vehicle damage according to an embodiment of the present application. As shown in fig. 2, the apparatus includes: a simulation unit 10, a first determination unit 20 and a second determination unit 30.
Specifically, the simulation unit 10 is configured to simulate an accident scene based on a photo and/or a video of the accident scene where the target vehicle is located, so as to obtain a simulated scene.
A first determination unit 20, configured to determine the damage characteristic of the target vehicle and the damage characteristic of each scene object in the simulated scene.
And a second determining unit 30, configured to determine the damage of the target vehicle based on the association relationship between the damage characteristic of the target vehicle and the damage characteristics of the respective scene objects.
According to the analysis device for the vehicle damage, the simulation unit 10 simulates the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and a simulation scene is obtained; the first determination unit 20 determines the damage characteristics of the target vehicle and the damage characteristics of each scene object in the simulated scene; the second determining unit 30 determines the damage of the target vehicle based on the incidence relation between the damage features of the target vehicle and the damage features of each scene object, solves the problems that the vehicle damage is identified by adopting a vehicle picture and the damage identification result is inaccurate in the related art, determines the damage of the target vehicle according to the damage features of the target vehicle and the damage features of each scene object, and further achieves the effect of improving the accuracy of the damage identification result.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the apparatus further includes: the shooting unit is used for shooting the photos and/or videos of the accident scene by adopting the 3D camera according to a preset depth of field condition before the accident scene is simulated based on the photos and/or videos of the accident scene where the target vehicle is located and the simulated scene is obtained, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the simulation unit 10 includes: the screening module is used for screening the photos and/or videos with the feature point contact ratio meeting the preset requirement from the photos and/or videos of the accident site; and the simulation module is used for simulating the accident scene based on the pictures and/or videos obtained by screening to obtain a simulated scene.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the first determining unit 20 includes: the positioning module is used for positioning each part and each scene object of the target vehicle in the simulated scene; the identification module is used for identifying the damage characteristics in the simulation scene and positioning the damage characteristics; the first determining module is used for determining the damage characteristics of the target vehicle and the damage characteristics of each scene object according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage characteristics in the simulated scene.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the apparatus further includes: the first recording unit is used for recording at least vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle before determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of each scene object; and the second recording unit is used for at least recording the damaged scene object, the damage type, the damage degree and the damage direction of the damaged scene object.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the second determining unit includes: the first determination module is used for determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle; and the verification module is used for verifying whether the damage of the target vehicle is reasonable or not through the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of each scene object.
Optionally, in the apparatus for analyzing vehicle damage provided in the embodiment of the present application, the verification module includes: the judging submodule is used for judging whether the damage of the target vehicle part is matched with the damage of the target scene object at least according to the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part; the first determining submodule is used for determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object; and the second determining submodule is used for determining that the estimated damage of the target vehicle part is unreasonable under the condition that the damage of the target vehicle part is not matched with the damage of the target scene object.
The vehicle damage analysis device comprises a processor and a memory, wherein the simulation unit 10, the first determination unit 20, the second determination unit 30 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problems that in the related technology, the vehicle image is adopted to identify the vehicle damage, and the damage identification result is inaccurate are solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing the method for analyzing damage to a vehicle when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program is used for executing the analysis method of the vehicle damage when running.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; and determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
Before simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and obtaining a simulated scene, the method further comprises the following steps: and shooting the photos and/or videos of the accident scene by adopting a 3D camera according to a preset depth of field condition, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
Simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and obtaining a simulated scene comprises the following steps: screening photos and/or videos with the coincidence degree of the characteristic points meeting the preset requirement from the photos and/or videos of the accident site; and simulating the accident scene based on the pictures and/or videos obtained by screening to obtain a simulated scene.
Determining the damage characteristic of the target vehicle and the damage characteristic of each scene object in the simulated scene comprises the following steps: positioning each part of the target vehicle and each scene object in the simulated scene; identifying damage features in the simulated scene and locating the damage features; and determining the damage characteristics of the target vehicle and the damage characteristics of each scene object according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage characteristics in the simulated scene.
Before determining the damage of the target vehicle based on the correlation between the damage characteristic of the target vehicle and the damage characteristic of each scene object, the method further includes: at least recording vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle; at least the damaged scene object, the damage type, the damage degree and the damage orientation of the damaged scene object are recorded.
Determining the damage of the target vehicle based on the correlation between the damage features of the target vehicle and the damage features of the respective scene objects comprises: determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle; and verifying whether the damage of the target vehicle is reasonable or not through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of each scene object.
Verifying whether the damage of the target vehicle is reasonable through the association relationship characterization between the damage characteristics of the target vehicle and the damage characteristics of the scene objects comprises the following steps: judging whether the damage of the target vehicle part is matched with the damage of the target scene object or not at least according to the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part; determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object; and under the condition that the damage of the target vehicle part is not matched with the damage of the target scene object, determining that the estimated damage of the target vehicle part is unreasonable. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: simulating an accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene; determining damage characteristics of a target vehicle and damage characteristics of each scene object in a simulated scene; and determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
Before simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and obtaining a simulated scene, the method further comprises the following steps: and shooting the photos and/or videos of the accident scene by adopting a 3D camera according to a preset depth of field condition, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
Simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located, and obtaining a simulated scene comprises the following steps: screening photos and/or videos with the coincidence degree of the characteristic points meeting the preset requirement from the photos and/or videos of the accident site; and simulating the accident scene based on the pictures and/or videos obtained by screening to obtain a simulated scene.
Determining the damage characteristic of the target vehicle and the damage characteristic of each scene object in the simulated scene comprises the following steps: positioning each part of the target vehicle and each scene object in the simulated scene; identifying damage features in the simulated scene and locating the damage features; and determining the damage characteristics of the target vehicle and the damage characteristics of each scene object according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage characteristics in the simulated scene.
Before determining the damage of the target vehicle based on the correlation between the damage characteristic of the target vehicle and the damage characteristic of each scene object, the method further includes: at least recording vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle; at least the damaged scene object, the damage type, the damage degree and the damage orientation of the damaged scene object are recorded.
Determining the damage of the target vehicle based on the correlation between the damage features of the target vehicle and the damage features of the respective scene objects comprises: determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle; and verifying whether the damage of the target vehicle is reasonable or not through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of each scene object.
Whether the damage of the target vehicle is reasonable is verified through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of each scene object: judging whether the damage of the target vehicle part is matched with the damage of the target scene object or not at least according to the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part; determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object; and under the condition that the damage of the target vehicle part is not matched with the damage of the target scene object, determining that the estimated damage of the target vehicle part is unreasonable.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of analyzing vehicle damage, comprising:
simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene;
determining damage characteristics of the target vehicle and damage characteristics of each scene object in the simulated scene;
determining the damage of the target vehicle based on the incidence relation between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
2. The method of claim 1, wherein before simulating the accident scene based on the photos and/or videos of the accident scene of the target vehicle, the method further comprises:
and shooting the photos and/or videos of the accident scene by adopting a 3D camera according to a preset depth of field condition, wherein the preset depth of field condition comprises that the shooting depth of field of each photo and/or video is within a preset depth of field range, and the depth of field difference between the two photos and/or videos is within a preset difference range.
3. The method of claim 1, wherein simulating the accident site based on the photos and/or videos of the accident site at which the target vehicle is located, and wherein obtaining a simulated scene comprises:
screening photos and/or videos with the characteristic point contact ratio meeting preset requirements from the photos and/or videos of the accident scene;
and simulating the accident scene based on the pictures and/or videos obtained by screening to obtain the simulated scene.
4. The method of claim 1, wherein determining the impairment signature of the target vehicle and the impairment signature of each scene object in the simulated scene comprises:
locating each part of the target vehicle and each scene object in the simulated scene;
identifying damage features in the simulated scene and locating the damage features;
and determining the damage features of the target vehicle and the damage features of the scene objects according to the positioning of each part of the target vehicle, the positioning of each scene object and the positioning of the damage features in the simulated scene.
5. The method of claim 4, wherein prior to determining the target vehicle's impairment based on the correlation between the target vehicle's impairment characteristics and the impairment characteristics of the respective scene objects, the method further comprises:
at least recording vehicle parts, damage types, damage degrees and damage directions corresponding to different damage characteristics of the target vehicle;
at least the damaged scene object, the damage type, the damage degree and the damage orientation of said damaged scene object are recorded.
6. The method of claim 4, wherein determining the damage of the target vehicle based on the correlation between the damage features of the target vehicle and the damage features of the respective scene objects comprises:
determining the estimated damage of the target vehicle according to the damage characteristic of the target vehicle;
and verifying whether the estimated damage of the target vehicle is reasonable or not through the incidence relation characterization between the damage characteristics of the target vehicle and the damage characteristics of the scene objects.
7. The method of claim 6, wherein verifying whether the estimated damage of the target vehicle is reasonable through the correlation between the damage features of the target vehicle and the damage features of the respective scene objects comprises:
judging whether the damage of the target vehicle part is matched with the damage of the target scene object or not according to at least the damaged target vehicle part, the damage type, the damage degree and the damage azimuth of the target vehicle and the damage type, the damage degree and the damage azimuth of the target scene object associated with the target vehicle part;
determining that the estimated damage of the target vehicle part is reasonable under the condition that the damage of the target vehicle part is matched with the damage of the target scene object;
determining that the estimated damage of the target vehicle part is not reasonable if the damage of the target vehicle part does not match the damage of the target scene object.
8. An apparatus for analyzing damage to a vehicle, comprising:
the simulation unit is used for simulating the accident scene based on the pictures and/or videos of the accident scene where the target vehicle is located to obtain a simulated scene;
a first determination unit, configured to determine, in the simulated scene, damage features of the target vehicle and damage features of the respective scene objects;
a second determining unit, configured to determine the damage of the target vehicle based on an association relationship between the damage characteristic of the target vehicle and the damage characteristic of each scene object.
9. A storage medium characterized by comprising a stored program, wherein the program executes the method of analyzing a damage of a vehicle according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the method for analyzing damage to a vehicle according to any one of claims 1 to 7 when running.
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