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.


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    Title :

    Dangerous Driving Action Detection and Recognition Technology


    Contributors:
    Dai, Yinhu (author) / Chen, Lei (author)


    Publication date :

    2023-09-22


    Size :

    8257706 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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