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A method for restoring traffic accident scene

A technology for traffic accidents and accidents. It is applied in traffic control systems, traffic flow detection, and road vehicle traffic control systems. It can solve problems such as unsatisfactory accuracy and ignoring system dynamic response, so as to reduce the accident misjudgment rate and eliminate the Interference of random errors and human subjective factors, the effect of eliminating random errors

Active Publication Date: 2022-02-18
TONGJI UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods ignore the dynamic response of the running vehicle system, so the accuracy is often not satisfactory.

Method used

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  • A method for restoring traffic accident scene
  • A method for restoring traffic accident scene
  • A method for restoring traffic accident scene

Examples

Experimental program
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Embodiment

[0029] like figure 1 As shown, this application proposes a traffic accident scene restoration method, which records the vehicle’s driving trajectory in real time through the vehicle-mounted device. After a car accident, the vehicle’s driving trajectory within one minute before the accident can be automatically extracted, and based on this image The above simulation generates the original driving trajectory of the vehicle, and finally outputs the final image. This method comprises the following steps:

[0030] S1, install the pressure sensor and the tension sensor on the car wheel, enable the vehicle-mounted GPS device simultaneously, utilize the data collected by the GPS device and the sensor on the car to draw the driving track of the vehicle one minute before the accident. In this embodiment, the GPS The data collected by the devices and sensors is transmitted to the microprocessor unit in the vehicle, including:

[0031] Obtain data such as vehicle latitude and longitude,...

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Abstract

The present invention relates to a method for restoring a scene of a traffic accident, comprising the following steps: S1, using the data collected by a GPS device and a sensor installed on the vehicle to draw the driving track of the vehicle one minute before the accident; S2, using the drawn out accident occurrence The driving trajectory of the vehicle in the previous minute and the data in the vehicle recorder at the moment of the accident are used as input, and the restored vehicle driving trajectory is obtained by using a deep learning algorithm. Compared with the prior art, the present invention uses the data collected by the on-board device installed and deployed on the vehicle, and the deep learning algorithm after repeated training can effectively remove random errors and the interference of human subjective factors, greatly reducing the misjudgment rate of accidents, eliminating the need for It saves unnecessary waste of time and manpower, and greatly promotes the maintenance of a good social order.

Description

technical field [0001] The invention relates to traffic accident scene simulation reproduction technology, in particular to a traffic accident scene restoration method. Background technique [0002] The most important task of traffic accident simulation reproduction is to use the remaining driving traces on the road at the accident site, the collision traces on the body and the stop position of the vehicle to calculate the vehicle's driving speed, acceleration, heading angle and post-collision vehicle speed during the collision process. Driving trajectory, etc., in order to infer the cause of the traffic accident, determine the accident responsibility and punish accordingly. This process is the vehicle trajectory reproduction technology. [0003] In the context of the rapid development of today's transportation, the frequency of traffic accidents remains high. In a traffic accident, if the two parties in the traffic accident cannot reach a consensus on who is the main resp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01H04W4/02H04W4/029H04W4/40G06T11/20G06N3/04
CPCG08G1/0125G08G1/0137G06T11/203G06N3/049H04W4/40H04W4/029H04W4/02H04W4/027G06N3/044
Inventor 王平刘富强陈新
Owner TONGJI UNIV
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