In this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle’s trajectories while driving dynamic


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    Titel :

    Probabilistic Maneuver Recognition in Traffic Scenarios


    Beteiligte:
    Firl, Jonas (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    1 Online-Ressource (VI, 150 p.)



    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Probabilistic Maneuver Recognition in Traffic Scenarios

    Firl, Jonas | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2014

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