Drivers’ human factors account for a large proportion of traffic accidents, and effective monitoring and real-time warning of fatigue and distracted driving are becoming more and more important. In this project, we provide a detailed overview of the problems and solutions of driver distraction and fatigue driving behavior monitoring methods, propose a YOLO-D2A algorithm to improve the accuracy and real-time driving behavior detection and maintain the optimal balance, and discuss the principles and methods in detail.
Dangerous Driving Action Detection and Recognition Technology
22.09.2023
8257706 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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