The identification of both the states and the skills of drivers has been actively investigated over several decades. The identification of a driver's skills and its application to driver assistance have been proposed in recent studies. In these studies, it was assumed that different aspects of driving skill can be expressed by switching a number of simple control rules according to the situation. In this study, the driver is assigned the task of steering the vehicle toward a destination while avoiding an obstacle. The steering skill of the driver is evaluated using a previously proposed hierarchical modeling method. The objective of this study is to extract the skill of the driver in a mathematically interpretable form. A number of experiments are conducted in order to verify the validity of the proposed framework.


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    Titel :

    Hierarchical PWARX modeling of obstacle avoidance and steering skill of human driver


    Beteiligte:
    Konaka, Eiji (Autor:in) / Okuda, Hiroyuki (Autor:in) / Suzuki, Tatsuya (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.09.2013


    Format / Umfang :

    1250083 byte



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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