This paper introduces a robust prediction- and cost-function based algorithm for autonomous freeway driving. A prediction engine is built so that the autonomous vehicle is able to estimate human drivers' intentions. A cost function library is used to help behavior planners generate the best strategies. Finally, the algorithm is tested in a real-time vehicle simulation platform used by the Tartan Racing Team for the DARPA Urban Challenge 2007.


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    Titel :

    A robust autonomous freeway driving algorithm


    Beteiligte:
    Wei, Junqing (Autor:in) / Dolan, John M. (Autor:in)


    Erscheinungsdatum :

    01.06.2009


    Format / Umfang :

    1089754 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Robust Autonomous Freeway Driving Algorithm

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