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  • Modeling Backscattering Behavior of Vulnerable Road Users Based on High-Resolution Radar Measurements

    Sevda Abadpour

    Band 103 von Karlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik
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    During the evolvement of autonomous driving technology, obtaining reliable 3-D environmental information is an indispensable task in approaching safe driving. The operational behavior of automotive radars can be precisely evaluated in a virtual test environment by modeling its surrounding, specifically vulnerable road users (VRUs). Such a realistic model can be generated based on the radar cross section (RCS) and Doppler signatures of a VRU. Therefore, this work proposes a high-resolution RCS measurement technique to determine the relevant scattering points of different VRUs.

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    Empfohlene Zitierweise
    Abadpour, S. 2023. Modeling Backscattering Behavior of Vulnerable Road Users Based on High-Resolution Radar Measurements. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161166
    Abadpour, S., 2023. Modeling Backscattering Behavior of Vulnerable Road Users Based on High-Resolution Radar Measurements. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161166
    Abadpour, S. Modeling Backscattering Behavior of Vulnerable Road Users Based on High-resolution Radar Measurements. KIT Scientific Publishing, 2023. DOI: https://doi.org/10.5445/KSP/1000161166
    Abadpour, S. (2023). Modeling Backscattering Behavior of Vulnerable Road Users Based on High-Resolution Radar Measurements. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161166
    Abadpour, Sevda. 2023. Modeling Backscattering Behavior of Vulnerable Road Users Based on High-resolution Radar Measurements. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000161166




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    Weitere Informationen

    Veröffentlicht am 20. November 2023

    Sprache

    Englisch

    Seitenanzahl:

    194

    ISBN
    Paperback 978-3-7315-1316-2

    DOI
    https://doi.org/10.5445/KSP/1000161166