In order to improve the safety of vehicles in snow, this paper mainly studies traffic image recognition in snowy weather. Firstly, based on previous research experience, the formation mechanism of snowy weather is briefly described. On this basis, the influence of snowfall on road traffic and its characteristics are analyzed. Then, the real-time snowfall level image acquisition and recognition is carried out. Different from the traditional method of dividing the snow level according to a 24-h snowfall, this paper distinguishes the real-time snow level according to the difference of the gray value of the image caused by the influence of snow on image clarity. Finally, according to the influencing factors of road traffic safety in snowy weather, combined with the result of image recognition, an early warning system for driving in snowy days is constructed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of Traffic Image Recognition in Snow Driving Safety


    Contributors:
    Guan, Deyong (author) / Qin, Wei (author) / Li, Sasa (author)

    Conference:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Published in:

    CICTP 2019 ; 3571-3581


    Publication date :

    2019-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Augmented Reality Based Traffic Sign Recognition for Improved Driving Safety

    Abdi, Lotfi / Meddeb, Aref / Abdallah, Faten Ben | Springer Verlag | 2015



    Driving after drinking and traffic safety

    Jinghe, M. / International Council on Alcohol, Drugs and Traffic Safety | British Library Conference Proceedings | 1997


    Washington's snow traffic program

    Keneipp, G.E. | Engineering Index Backfile | 1954