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 vehicles trajectories while driving dynamic


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    Title :

    Probabilistic Maneuver Recognition in Traffic Scenarios


    Contributors:
    Firl, Jonas (author)

    Publication date :

    2014


    Size :

    1 electronic resource (VI, 150 p. p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Probabilistic Maneuver Recognition in Traffic Scenarios

    Firl, Jonas | TIBKAT | 2014

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    Probabilistic Maneuver Recognition in Traffic Scenarios

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

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