According to the relevant statistics, some traffic accidents are caused by forward collision avoidance actions. During such a situation, the forward car engages in emergency avoidance operations, whereas the car behind has a short time to discover and avoid the danger, resulting in a major traffic accident. With the development of intelligent connected vehicles, driving assistance systems (DAS) will also have to contend with such extreme situations. When evaluating the performance of DAS, it is important to determine whether it can avoid forward collisions.


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    Titel :

    Behavior analysis of driver assistance systems (DAS) in forward emergency avoidance


    Beteiligte:
    Li, Tao (Autor:in) / Zhang, Changlu (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2022) ; 2022 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12460


    Erscheinungsdatum :

    2022-12-22





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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