Vehicle risk prediction method and device, electronic equipment and readable storage medium

Abstract

The invention relates to an artificial intelligence technology, the invention discloses a vehicle risk prediction method. The method includes: based on a pre-constructed feature extraction method, extracting vehicle feature points from the vehicle driving picture set to obtain a vehicle feature set; calculating optical flow information of the vehicle feature set to obtain an optical flow information set, extracting a characteristic track of the vehicle from the optical flow information set, collecting the characteristic tracks to obtain a characteristic two-dimensional track set; and performing spatial projection on the feature two-dimensional trajectory set to obtain a feature three-dimensional trajectory set, constructing a clustering matrix according to the feature three-dimensional trajectory set, performing inter-class combination on the clustering matrix to obtain a combination matrix, calculating a numerical value in the combination matrix to obtain a driving speed, and calculating a vehicle risk coefficient according to the driving speed. The invention further provides a vehicle risk prediction device, electronic equipment and a computer readable storage medium. The methodcan meet the requirements of real-time detection of the vehicle, and improves the judgment of the risk of the vehicle.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a vehicle risk prediction method, device, electronic equipment and readable storage medium. Background technique [0002] For a long time, motor vehicles, as the main object of traffic management, have been under the key control of traffic managers. However, due to the sharp increase in the number of motor vehicles, the limited police resources of the traffic control department have been unable to carry out all-round strict control of them, resulting in various Similar traffic violations and chaos emerge in endlessly. Bring great hidden danger to people's traffic safety. [0003] Most of the existing vehicles are equipped with positioning devices with driving recording functions, and the data of the vehicle's GPS and the surveillance camera are used to calculate the driving behavior of the vehicle, such as the vehicle's driving speed and acceleration, so ...

AI Technical Summary

Problems solved by technology

[0002] For a long time, motor vehicles, as the main object of traffic management, have been under the key control of traffic managers. However, due to the sharp increase in the number of motor vehicles, the limited police resources of the traffic control department have been unable to carry out all-round strict control of them, resulting in various Class traffic violations and chaos emerge in endlessly

Bring great hidden dangers to people's traffic safety

[0003] Most of the existing vehicles are equipped with positioning devices with driving recording functions, and the data of the vehicle's GPS and the surveillance camera are used to calculate the driving behavior of the vehicle, such as the vehicle's driving speed and acceleration, so as to evaluate the driving risk of the vehicle. Or only subjectively assess vehicle risk based on historical insurance data. In the process of calculating vehicle driving behavior with vehicle GPS data and surveillance cameras, there is a lack of high-definition and high-precision detection and tracking technology for vehicles. Only in high-definition video, When the light is good and there is no occlusion between vehicles, it has high detection and tracking accuracy, which is difficult to meet the needs of vehicle risk judgment

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