To work safely, efficiently and robustly, Advanced Driver Systems (ADAS) need a substantial understanding of the environment. Just as a human driver, the system needs to interpret the current situation and its possible developments, especially when it comes to longer prediction horizons or complex urban scenarios. The prerequisite of prediction is the recognition of traffic participants' behaviour and therefore an essential part of situation understanding.


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    Titel :

    Behaviour recognition of traffic participants by using manoeuvre primitives for automated vehicles in urban traffic


    Beteiligte:
    Ernst, Susanne (Autor:in) / Rieken, Jens (Autor:in) / Maurer, Markus (Autor:in)


    Erscheinungsdatum :

    01.11.2016


    Format / Umfang :

    1559047 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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