Research in the field of automated driving has created promising results in the last years. Some research groups have shown perception systems which are able to capture even complicated urban scenarios in great detail. Yet, what is often missing are general-purpose path-or trajectory planners which are not designed for a specific purpose. In this paper we look at path- and trajectory planning from an architectural point of view and show how model predictive frameworks can contribute to generalized path- and trajectory generation approaches for generating safe trajectories even in cases of system failures.


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    Titel :

    Model predictive control based trajectory generation for autonomous vehicles — An architectural approach


    Beteiligte:
    Nolte, Marcus (Autor:in) / Rose, Marcel (Autor:in) / Stolte, Torben (Autor:in) / Maurer, Markus (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    263725 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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