With the increase of vehicle popularity and traffic casualty rate, seat belt as a very important protection measure that can effectively protect the safety of passengers, and Chinese traffic law has imposed penalties on vehicle driver and passenger occupants who do not wear seat belt since 2013. In order to eliminate the disadvantages of low efficiency of manual determination and high rate of misjudgment and omission of violation capture photos, and to realize automatic and fast detection of whether the drivers and passengers wear seat belts, this paper proposes a seat belt detection alm through YOLOv5 network and AlexNet network. By locating the windshield through the position relationship of the front windshield of the vehicle, and then obtaining the windshield boundary by the Hough transform, the positions of the driver and the co-driver are divided, and the seat belt is recognized for the driver and the co-driver respectively. Training and testing are conducted on vehicle dataset, front windshield dataset and seat belt dataset, and the results show that the method can effectively identify whether the primary and secondary drivers are wearing seat belts respectively, and the recognition rate is significantly improved compared with other methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Deep Learning Based Vehicle Seat Belt Detection Algorithm for Driver and Passenger Seat Occupants


    Contributors:
    Feng, Weihua (author) / Yu, Wanjun (author) / Nan, Ruhao (author)


    Publication date :

    2022-11-24


    Size :

    4021934 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Daytime and Nighttime Seat Belt Use by Fatally Injured Passenger Vehicle. Occupants

    J. Tison / A. F. Williams / N. K. Chaudhary | NTIS | 2010


    PASSENGER SEAT BELT WEARING DETECTION SYSTEM FOR VEHICLE

    YOSHIMOCHI SHIGERU / SHIMIZU SHOICHI | European Patent Office | 2019

    Free access

    Webbing for passenger restraint belt, seat belt and seat belt apparatus

    SHIMAZAKI SADAYUKI / NEMOTO DAICHI / TERAI HIROKI | European Patent Office | 2019

    Free access

    WEBBING FOR PASSENGER RESTRAINT BELT, SEAT BELT AND SEAT BELT APPARATUS

    SHIMAZAKI SADAYUKI / NEMOTO DAICHI / TERAI HIROKI | European Patent Office | 2017

    Free access

    WEBBING FOR PASSENGER RESTRAINT BELT, SEAT BELT AND SEAT BELT APPARATUS

    SHIMAZAKI SADAYUKI / NEMOTO DAICHI / TERAI HIROKI | European Patent Office | 2017

    Free access