Driver cognitive perspective-based pedestrian-vehicle-road coupling risk assessment method and device

Abstract

The invention discloses a driver cognition visual angle-based pedestrian-vehicle-road coupling risk assessment method and device. The method comprises the steps of S1, obtaining parameter informationof a vehicle, a traffic environment around the vehicle and a traffic object in the traffic environment around the vehicle; S2, inputting various types of information obtained in the step S1 into a vehicle-mounted sensor unit, wherein a pedestrian, vehicle and road coupling risk assessment model is preset in a vehicle-mounted sensor; and S3, outputting risk value of a single traffic object in the traffic environment around the vehicle and a risk Map map in the traffic environment around the whole vehicle through the pedestrian-vehicle-road coupling risk assessment model. The invention can comprehensively consider the coupling characteristics between people and vehicles, accords with the driver risk perception level, and quantifies the current environment risk value result based on the comprehensive risk assessment method of subjective cognition and objective evaluation of the driver, so as to guarantee the safety obstacle avoidance of the vehicle.

Description

technical field [0001] The present invention relates to the technical field of smart car application, in particular to a method and device for evaluating the risk of human-vehicle-road coupling based on the driver's cognitive perspective. Background technique [0002] The traffic system includes various elements such as people, vehicles, and roads. For the entire traffic system, driving risk is essentially a generalized instability of the human-vehicle-road closed-loop system, which is usually determined by the driver, road conditions, and the vehicle itself. The dynamic properties are jointly determined. The interaction between elements directly affects driving safety, but the influence mechanism and degree of influence between different elements are not the same, and the interaction relationship is complex. The basis for automotive safety control in road environments. [0003] At present, there have been a lot of research on driving risk at home and abroad. Risks can be...

AI Technical Summary

Problems solved by technology

[0008] Faced with a relatively complex and changeable operating environment, existing human-vehicle-road coupling risk assessment methods are difficult to analyze the interaction between vehicles, vehicles, and vehicles as a whole. Most of them are based on vehicle kinematics and dynamics theories. Evaluate the safety risk of the vehicle based on the vehicle state information (speed, acceleration, yaw rate, etc.) and the relative motion relationship information (relative speed, relative distance, etc.) Quantitatively output the risk value that conforms to the driver's risk perception ability

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