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  • Probabilistic Maneuver Recognition in Traffic Scenarios

    Jonas Firl

    Band 031 von Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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    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

    Umfang: VI, 150 S.

    Preis: €41.00 | £38.00 | $72.00

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    Empfohlene Zitierweise
    Firl, J. 2015. Probabilistic Maneuver Recognition in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000043680
    Firl, J., 2015. Probabilistic Maneuver Recognition in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000043680
    Firl, J. Probabilistic Maneuver Recognition in Traffic Scenarios. KIT Scientific Publishing, 2015. DOI: https://doi.org/10.5445/KSP/1000043680
    Firl, J. (2015). Probabilistic Maneuver Recognition in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000043680
    Firl, Jonas. 2015. Probabilistic Maneuver Recognition in Traffic Scenarios. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000043680




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    Weitere Informationen

    Veröffentlicht am 7. Januar 2015

    Sprache

    Englisch

    Seitenanzahl:

    178

    ISBN
    Paperback 978-3-7315-0287-6

    DOI
    https://doi.org/10.5445/KSP/1000043680