CN113220880B - Traffic incident judgment method, system, terminal and medium based on semantic analysis - Google Patents
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Abstract
The invention discloses a traffic incident judgment method, a system, a terminal and a medium based on semantic analysis, relating to the technical field of intelligent traffic, and the key points of the technical scheme are as follows: extracting the characteristics of the voice information by a semantic analysis method to obtain subjective information; obtaining a traffic event judgment result under the current subjective angle according to the subjective information simulation analysis; judging whether the judgment results of the traffic events under different subjective angles are consistent or not: if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result; if the judgment result is inconsistent with the judgment result, the judgment result of the traffic incident with the highest degree of recognition with the judgment standard of the traffic incident is used as the final judgment result. The invention can finish the responsibility confirmation only by providing corresponding language information after the traffic incident occurs, does not need to wait for the relevant personnel to arrive at the site for processing, and simultaneously overcomes the limitation of image acquisition.
Description
Technical Field
The present invention relates to the field of intelligent traffic technologies, and in particular, to a method, a system, a terminal, and a medium for evaluating a traffic event based on semantic analysis.
Background
The traffic incident generally refers to an incident that a vehicle causes personal injury or property loss on a road due to mistake or accident. The existing responsibility determination of the traffic incident generally needs a traffic police or a professional of an insurance company to judge, and in the process, the traffic police or the professional is easy to cause road congestion after waiting for a long time, which is not beneficial to normal operation of urban roads and is easy to cause secondary incident, so that the realization of intelligent judgment of the traffic incident is a key research direction in the current traffic technical field.
At present, the intelligent evaluation of traffic events is mainly based on the analysis and processing of image information or video information acquired by a vehicle-mounted or road-arranged image acquisition system. However, there are some devices such as a driving recorder which are not installed in an accident vehicle in a traffic incident, and even if the driving recorder is installed, there is a certain collection view angle.
Therefore, how to research and design a traffic incident evaluation method, system, terminal and medium based on semantic analysis is a problem that we are in urgent need to solve at present,
disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a traffic event judgment method, a system, a terminal and a medium based on semantic analysis.
The technical purpose of the invention is realized by the following technical scheme:
in a first aspect, a traffic event judgment method based on semantic analysis is provided, which includes the following steps:
acquiring voice information describing the traffic events by each event party in the traffic events;
carrying out feature extraction on voice information by a semantic analysis method to obtain subjective information, and carrying out feature classification on the subjective information to obtain road distribution information, intention driving information and event occurrence information under a corresponding subjective angle;
according to the road distribution information, the intention driving information and the incident occurrence information, a traffic incident judgment result under the current subjective angle is obtained through simulation analysis, and according to the steps, the voice information of each incident party is processed to obtain the traffic incident judgment results under different subjective angles;
judging whether the judgment results of the traffic events under different subjective angles are consistent or not:
if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result;
if the judgment result is inconsistent with the judgment result, the judgment result of the traffic incident with the highest degree of recognition with the judgment standard of the traffic incident is used as the final judgment result.
Further, the analysis process of the traffic incident judgment result specifically comprises:
establishing a road plane graph according to the road distribution information, and determining track points of the traffic incident in the road plane graph according to the incident occurrence information, wherein the track points at least comprise a starting point and an ending point;
respectively carrying out simulation analysis according to accident types in the intention driving information and the event occurrence information to obtain simulated driving tracks of all event parties in a road plan under the current subjective angle;
and processing the voice information of each incident party according to the steps to obtain the traffic incident judgment results under different subjective angles.
Further, the specific process of establishing the traffic incident judgment standard according to all the subjective information comprises the following steps:
acquiring the same time characteristics in all subjective information as basic event information;
establishing a standard driving track frame according to the basic event information, and analyzing by referring to the basic event information in an event logic rationality mode to obtain at least one group of missing supplementary feature combinations;
and (4) combining and perfecting the standard driving track framework according to the supplementary features to obtain at least one standard simulation track, and taking all the standard simulation tracks as the traffic event judgment standard for final judgment.
Further, the specific process of establishing the traffic incident judgment standard according to the reacquired accident image information comprises the following steps:
visual event information in the accident image information is extracted through an image recognition method, wherein the visual event information comprises a starting point, an ending point, vehicle distribution information, tire steering information, tire trace information and road plane information of an event;
and constructing at least one virtual driving track according to the visual event information, and screening at least one standard virtual driving track from the virtual driving tracks according to all subjective information to be used as a traffic event judgment standard for final judgment.
Further, the calculation process of the degree of acquaintance between the traffic incident evaluation result and the traffic incident evaluation criterion specifically comprises the following steps:
processing information according to the traffic incident judgment standard to obtain a standard judgment result;
judging whether the standard judgment result is the same as the traffic event judgment result or not;
if the traffic events are the same, calculating a similarity value under the current traffic event judgment standard by adopting the same principle; the formula for calculating the similarity value by the same principle is specifically as follows:
wherein S isTRepresenting similarity values under the same principle; n represents the total characteristic quantity in the judgment result of the traffic incident; n is a radical ofTRepresenting the characteristic quantity which is the same as the judgment standard of the corresponding traffic incident in the judgment result of the traffic incident;
if not, calculating a similarity value under the current traffic event judgment standard by adopting an opposite principle; the formula for calculating the similarity value by the principle of the inverse method is specifically as follows:
wherein S isTRepresenting similar values under the opposite principle;
and obtaining the similarity of the judgment results of the corresponding traffic events according to the sum of all the similarity values, and comparing the similarities of the judgment results of different traffic events to determine the final judgment result.
Further, the process of acquiring the voice information specifically includes:
calling a corresponding voice description template according to the accident type, wherein the voice description template is arranged by a plurality of sub-classification modules according to accident logic;
each sub-classification module is matched with and uploads related professional terms from the database to display;
and recording voice information when the sub-classification module is opened, and performing classification storage when the sub-classification module is closed.
Further, the starting process of the traffic incident judgment specifically includes:
acquiring judgment request information, wherein the judgment request information at least comprises identity information of an accident party, an accident type and an accident site;
calling a voice description template according to the accident type, and generating a description link of each accident party for independently accessing the voice description template by combining identity information;
and sending the description link to the user terminal of the corresponding accident party according to the identity information.
In a second aspect, a traffic event judgment system based on semantic analysis is provided, which includes:
the voice acquisition module is used for acquiring voice information describing the traffic events of all event parties in the traffic events;
the semantic analysis module is used for extracting the characteristics of the voice information through a semantic analysis method to obtain subjective information, and classifying the characteristics of the subjective information to obtain road distribution information, intention driving information and event occurrence information under the corresponding subjective angle;
the first evaluation module is used for obtaining a traffic event evaluation result under the current subjective angle according to the road distribution information, the intention driving information and the event occurrence information through simulation analysis, and obtaining the traffic event evaluation result under different subjective angles after processing the voice information of each event party according to the steps;
the second judging module is used for judging whether the judging results of the traffic events under different subjective angles are consistent or not: if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result; if the judgment result is inconsistent with the judgment result, the judgment result of the traffic incident with the highest degree of recognition with the judgment standard of the traffic incident is used as the final judgment result.
In a third aspect, a computer terminal is provided, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the processor implements the traffic event judgment method based on semantic analysis according to any one of the first aspect.
In a fourth aspect, a computer-readable medium is provided, on which a computer program is stored, the computer program being executed by a processor, and the traffic event judgment method based on semantic analysis according to any one of the first aspect can be implemented.
Compared with the prior art, the invention has the following beneficial effects:
1. the method identifies the characteristic information in the voice information by a semantic analysis method, restores the driving track in the event occurrence process by the characteristic information, obtains the final judgment result by the driving track analysis, can finish the responsibility confirmation by only providing corresponding language information after the traffic event occurs, does not need to wait for the related personnel to arrive at the site for processing, and overcomes the limitation of image acquisition;
2. when the final judgment result is objected due to the description difference of accident parties, the method can also establish a standard simulation track after data processing is carried out according to subjective information, and the traffic event judgment result obtained by taking the standard simulation track as a traffic event judgment standard can effectively eliminate the difference caused by voice description;
3. when the final judgment result has errors due to the fact that an accident party is hidden and changed intentionally, the standard virtual driving track can be established after the accident image information uploaded by the accident party is processed by the image processing technology, so that the error influence caused by subjective factors can be effectively counteracted;
4. according to the invention, the traffic incident judgment standard obtained by primary judgment and the traffic incident judgment standard obtained by secondary processing are compared and analyzed by the same principle and the opposite principle to obtain the final judgment result, so that the problem of accuracy of the processing result caused by data loss can be effectively solved;
5. the whole judging process is simple and convenient to operate, benefits from popularization of intelligent equipment, does not need to modify accident vehicles and road supporting facilities, and is low in whole popularization and application cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart in an embodiment of the invention;
fig. 2 is a block diagram of a system in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1: the traffic event judgment method based on semantic analysis is specifically realized by the following steps as shown in fig. 1.
S1: and acquiring voice information for describing the traffic events by each event party in the traffic events.
The voice information acquisition process specifically comprises the following steps: calling a corresponding voice description template according to the accident type, wherein the voice description template is arranged by a plurality of sub-classification modules according to accident logic; each sub-classification module is matched with and uploads related professional terms from the database to display; and recording voice information when the sub-classification module is opened, and performing classification storage when the sub-classification module is closed.
It should be noted that the sub-classification module includes but is not limited to a road type, an intended driving type, and an accident type, and the accident party can provide the voice information and can describe the voice information according to the description logic and the professional terms in the sub-classification module, so that the whole description process sequence can be realized, the difficulty of semantic analysis can be reduced, and the occurrence of the situation that the voice information is inaccurate due to the fact that the accident party intentionally hides real information or expresses the difference of ability can be effectively reduced.
The starting process of the traffic incident judgment specifically comprises the following steps: acquiring judgment request information, wherein the judgment request information at least comprises identity information of an accident party, an accident type and an accident site; calling a voice description template according to the accident type, and generating a description link of each accident party for independently accessing the voice description template by combining identity information; and sending the description link to the user terminal of the corresponding accident party according to the identity information.
The evaluation request information may be provided by any one accident party, or may be provided by a plurality of accident parties at the same time, and when there are different evaluation request information, the recording process may be performed, or the feedback confirmation may be performed.
S2: and performing feature extraction on the voice information by a semantic analysis method to obtain subjective information, and performing feature classification on the subjective information to obtain road distribution information, intention driving information and event occurrence information under a corresponding subjective angle. It should be noted that the subjective angle is the accident party providing the voice information.
S3: and carrying out simulation analysis according to the road distribution information, the intention driving information and the incident occurrence information to obtain a traffic incident judgment result under the current subjective angle, and processing the voice information of each incident party according to the steps to obtain the traffic incident judgment results under different subjective angles.
The analysis process of the traffic incident judgment result specifically comprises the following steps: the method comprises the steps of establishing a road plane graph according to road distribution information, determining track points of a traffic incident in the road plane graph according to incident occurrence information, wherein the track points at least comprise a starting point and an ending point, and the general situation comprises the track points of a driving process, such as a cross-road node, a brake node, an acceleration node, a steering node and the like. And respectively carrying out simulation analysis according to accident types in the intention driving information and the event occurrence information to obtain the simulated driving tracks of all event parties in the road plan under the current subjective angle. And processing the voice information of each incident party according to the steps to obtain the traffic incident judgment results under different subjective angles. Judging whether the judgment results of the traffic events under different subjective angles are consistent or not: if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result; if the judgment result is inconsistent with the judgment result, the judgment result of the traffic incident with the highest degree of recognition with the judgment standard of the traffic incident is used as the final judgment result.
The specific process of establishing the traffic incident judgment standard according to all the subjective information comprises the following steps: acquiring the same time characteristics in all subjective information as basic event information; establishing a standard driving track frame according to the basic event information, and analyzing by referring to the basic event information in an event logic rationality mode to obtain at least one group of missing supplementary feature combinations; and (4) combining and perfecting the standard driving track framework according to the supplementary features to obtain at least one standard simulation track, and taking all the standard simulation tracks as the traffic event judgment standard for final judgment.
In addition, the specific process of establishing the traffic incident judgment standard according to the acquired accident image information comprises the following steps: visual event information in the accident image information is extracted through an image recognition method, wherein the visual event information comprises a starting point, an ending point, vehicle distribution information, tire steering information, tire trace information and road plane information of an event; and constructing at least one virtual driving track according to the visual event information, and screening at least one standard virtual driving track from the virtual driving tracks according to all subjective information to be used as a traffic event judgment standard for final judgment.
The calculation process of the recognition degree of the traffic incident judgment result and the traffic incident judgment standard specifically comprises the following steps: processing information according to the traffic incident judgment standard to obtain a standard judgment result; and judging whether the standard judgment result is the same as the traffic event judgment result or not.
If the traffic events are the same, calculating a similarity value under the current traffic event judgment standard by adopting the same principle; the formula for calculating the similarity value by the same principle is specifically as follows:
wherein S isTRepresenting similarity values under the same principle; n represents the total characteristic quantity in the judgment result of the traffic incident; n is a radical ofTAnd the characteristic quantity which is the same as the corresponding traffic event judgment standard in the traffic event judgment result is represented.
If not, calculating a similarity value under the current traffic event judgment standard by adopting an opposite principle; the formula for calculating the similarity value by the principle of the inverse method is specifically as follows:
wherein S isTRepresenting similar values under the opposite principle;
and obtaining the similarity of the judgment results of the corresponding traffic events according to the sum of all the similarity values, and comparing the similarities of the judgment results of different traffic events to determine the final judgment result.
Example 2: the traffic incident evaluation system based on semantic analysis comprises a voice acquisition module, a semantic analysis module, a first evaluation module and a second evaluation module. And the voice acquisition module is used for acquiring voice information describing the traffic events of all the event parties in the traffic events. And the semantic analysis module is used for extracting the characteristics of the voice information by a semantic analysis method to obtain subjective information, and classifying the characteristics of the subjective information to obtain road distribution information, intention driving information and event occurrence information under the corresponding subjective angle. The first evaluation module is used for obtaining a traffic event evaluation result under the current subjective angle according to the road distribution information, the intention driving information and the event occurrence information through simulation analysis, and obtaining the traffic event evaluation result under different subjective angles after processing the voice information of each event party according to the steps. The second judging module is used for judging whether the judging results of the traffic events under different subjective angles are consistent or not: if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result; if the judgment result is inconsistent with the judgment result, the judgment result of the traffic incident with the highest degree of recognition with the judgment standard of the traffic incident is used as the final judgment result.
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.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. The traffic incident judgment method based on semantic analysis is characterized by comprising the following steps of:
acquiring voice information describing the traffic events by each event party in the traffic events;
carrying out feature extraction on voice information by a semantic analysis method to obtain subjective information, and carrying out feature classification on the subjective information to obtain road distribution information, intention driving information and event occurrence information under a corresponding subjective angle;
according to the road distribution information, the intention driving information and the incident occurrence information, a traffic incident judgment result under the current subjective angle is obtained through simulation analysis, and according to the steps, the voice information of each incident party is processed to obtain the traffic incident judgment results under different subjective angles;
judging whether the judgment results of the traffic events under different subjective angles are consistent or not:
if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result;
if the judgment result is inconsistent with the judgment result, establishing a traffic incident judgment standard according to all subjective information or the reacquired accident image information, and taking a traffic incident judgment result with the highest degree of recognition with the traffic incident judgment standard as a final judgment result;
the calculation process of the recognition degree of the traffic incident judgment result and the traffic incident judgment standard specifically comprises the following steps:
processing information according to the traffic incident judgment standard to obtain a standard judgment result;
judging whether the standard judgment result is the same as the traffic event judgment result or not;
if the traffic events are the same, calculating a similarity value under the current traffic event judgment standard by adopting the same principle; the formula for calculating the similarity value by the same principle is specifically as follows:
wherein S isTRepresenting similarity values under the same principle; n represents the total characteristic quantity in the judgment result of the traffic incident; n is a radical ofTRepresenting the characteristic quantity which is the same as the judgment standard of the corresponding traffic incident in the judgment result of the traffic incident;
if not, calculating a similarity value under the current traffic event judgment standard by adopting an opposite principle; the formula for calculating the similarity value by the principle of the inverse method is specifically as follows:
wherein S isTRepresenting similar values under the opposite principle;
and obtaining the similarity of the judgment results of the corresponding traffic events according to the sum of all the similarity values, and comparing the similarities of the judgment results of different traffic events to determine the final judgment result.
2. The traffic incident evaluation method based on semantic analysis according to claim 1, wherein the analysis process of the traffic incident evaluation result specifically comprises:
establishing a road plane graph according to the road distribution information, and determining track points of the traffic incident in the road plane graph according to the incident occurrence information, wherein the track points at least comprise a starting point and an ending point;
respectively carrying out simulation analysis according to accident types in the intention driving information and the event occurrence information to obtain simulated driving tracks of all event parties in a road plan under the current subjective angle;
and processing the voice information of each incident party according to the steps to obtain the traffic incident judgment results under different subjective angles.
3. The traffic incident evaluation method based on semantic analysis according to claim 2, wherein the specific process of establishing the traffic incident evaluation criterion according to all subjective information comprises:
acquiring the same time characteristics in all subjective information as basic event information;
establishing a standard driving track frame according to the basic event information, and analyzing by referring to the basic event information in an event logic rationality mode to obtain at least one group of missing supplementary feature combinations;
and (4) combining and perfecting the standard driving track framework according to the supplementary features to obtain at least one standard simulation track, and taking all the standard simulation tracks as the traffic event judgment standard for final judgment.
4. The semantic analysis based traffic incident evaluation method according to claim 2, wherein the specific process of establishing the traffic incident evaluation criterion based on the retrieved accident image information is as follows:
visual event information in the accident image information is extracted through an image recognition method, wherein the visual event information comprises a starting point, an ending point, vehicle distribution information, tire steering information, tire trace information and road plane information of an event;
and constructing at least one virtual driving track according to the visual event information, and screening at least one standard virtual driving track from the virtual driving tracks according to all subjective information to be used as a traffic event judgment standard for final judgment.
5. The traffic incident assessment method based on semantic analysis according to any one of claims 1 to 4, wherein the voice information is obtained by:
calling a corresponding voice description template according to the accident type, wherein the voice description template is arranged by a plurality of sub-classification modules according to accident logic;
each sub-classification module is matched with and uploads related professional terms from the database to display;
and recording voice information when the sub-classification module is opened, and performing classification storage when the sub-classification module is closed.
6. The traffic event assessment method based on semantic analysis according to any one of claims 1 to 4, wherein the starting process of the traffic event assessment specifically comprises:
acquiring judgment request information, wherein the judgment request information at least comprises identity information of an accident party, an accident type and an accident site;
calling a voice description template according to the accident type, and generating a description link of each accident party for independently accessing the voice description template by combining identity information;
and sending the description link to the user terminal of the corresponding accident party according to the identity information.
7. The traffic incident judgment system based on semantic analysis is characterized by comprising the following components:
the voice acquisition module is used for acquiring voice information describing the traffic events of all event parties in the traffic events;
the semantic analysis module is used for extracting the characteristics of the voice information through a semantic analysis method to obtain subjective information, and classifying the characteristics of the subjective information to obtain road distribution information, intention driving information and event occurrence information under the corresponding subjective angle;
the first evaluation module is used for obtaining a traffic event evaluation result under the current subjective angle according to the road distribution information, the intention driving information and the event occurrence information through simulation analysis, and obtaining the traffic event evaluation result under different subjective angles after processing the voice information of each event party according to the first evaluation module;
the second judging module is used for judging whether the judging results of the traffic events under different subjective angles are consistent or not: if the traffic events are consistent, selecting one of the traffic event judgment results as a final judgment result; if the judgment result is inconsistent with the judgment result, establishing a traffic incident judgment standard according to all subjective information or the reacquired accident image information, and taking a traffic incident judgment result with the highest degree of recognition with the traffic incident judgment standard as a final judgment result;
the calculation process of the recognition degree of the traffic incident judgment result and the traffic incident judgment standard specifically comprises the following steps:
processing information according to the traffic incident judgment standard to obtain a standard judgment result;
judging whether the standard judgment result is the same as the traffic event judgment result or not;
if the traffic events are the same, calculating a similarity value under the current traffic event judgment standard by adopting the same principle; the formula for calculating the similarity value by the same principle is specifically as follows:
wherein S isTRepresenting similarity values under the same principle; n represents the total characteristic quantity in the judgment result of the traffic incident; n is a radical ofTRepresenting the characteristic quantity which is the same as the judgment standard of the corresponding traffic incident in the judgment result of the traffic incident;
if not, calculating a similarity value under the current traffic event judgment standard by adopting an opposite principle; the formula for calculating the similarity value by the principle of the inverse method is specifically as follows:
wherein S isTRepresenting similar values under the opposite principle;
and obtaining the similarity of the judgment results of the corresponding traffic events according to the sum of all the similarity values, and comparing the similarities of the judgment results of different traffic events to determine the final judgment result.
8. A computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the traffic event judgment method based on semantic analysis according to any one of claims 1 to 6.
9. A computer-readable medium, on which a computer program is stored, the computer program being executable by a processor for implementing a traffic event assessment method based on semantic analysis according to any one of claims 1 to 6.
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| US6970102B2 (en) * | 2003-05-05 | 2005-11-29 | Transol Pty Ltd | Traffic violation detection, recording and evidence processing system |
| CN102034013B (en) * | 2010-12-30 | 2012-10-10 | 长安大学 | Analysis, computation and simulative reappearance computer system for automobile oblique collision accident |
| TWM507853U (en) * | 2015-06-12 | 2015-09-01 | Heng Tung Yi Internat Trade Co Ltd | Event data recorder with tire pressure detection function |
| CN105206059B (en) * | 2015-10-28 | 2018-06-26 | 重庆邮电大学 | A kind of scene of a traffic accident evidence collection instructs system and method |
| CN112381379A (en) * | 2020-11-11 | 2021-02-19 | 深圳市元征科技股份有限公司 | Traffic accident processing method and device and electronic equipment |
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