Traffic scene risk assessment method and device

Abstract

The invention provides a traffic scene risk assessment method and device, capable of performing risk assessment on a traffic scene through risk features of risk factors in the traffic scene, wherein the risk factors comprise a collision factor, a shielding factor and an interference factor in the traffic scene. When the traffic scene risk assessment method performs risk assessment on a traffic scene, the traffic scene risk assessment method can comprehensively consider the mutual relation between the different risk factors in the traffic scene, so as to conduct risk feature calculation on therisk factors bringing risks in the traffic scene more comprehensively, and then improve the evaluation efficiency during risk evaluation of the traffic scene.

Description

technical field [0001] The present application relates to the technical field of automatic driving, and in particular to a method and device for risk assessment of traffic scenes. Background technique [0002] At present, with the rapid development of vehicle technology and electronic technology, self-driving vehicles are gradually entering people's lives. Self-driving vehicles can determine the traffic scene where the vehicle is located through various sensors installed on the vehicle, such as lidar, imaging devices, etc., and then perform risk assessment on the traffic scene where the vehicle is driving. And according to the risk assessment results, a more suitable driving strategy for the vehicle is selected in the traffic scene to control the automatic driving of the vehicle in real time. [0003] In the existing technology, the self-driving vehicle collects parameters such as the position and speed of all objects appearing in the traffic scene, and determines the possi...

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, when the risk assessment of the traffic scene is carried out, only the object itself which may collide with

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