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  • Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception

    Constantin Hubmann

    Band 048 von Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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    This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.

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    Empfohlene Zitierweise
    Hubmann, C. 2021. Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122855
    Hubmann, C., 2021. Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122855
    Hubmann, C. Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception. KIT Scientific Publishing, 2021. DOI: https://doi.org/10.5445/KSP/1000122855
    Hubmann, C. (2021). Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122855
    Hubmann, Constantin. 2021. Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000122855




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    Weitere Informationen

    Veröffentlicht am 13. September 2021

    Sprache

    Englisch

    Seitenanzahl:

    180

    ISBN
    Paperback 978-3-7315-1039-0

    DOI
    https://doi.org/10.5445/KSP/1000122855