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    • Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

    Johannes Masino

    Band 82 von Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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    The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.

    Umfang: XVI, 195 S.

    Preis: 45.00 €

    Fächer:

    Maschinenbau und Verfahrenstechnik 

    Schlagwörter:

    Maschinelles Lernen Fahrzeugtechnik Straßenschäden Fahrzeugsensorik Maschine Learning Vehicle Technology Road Condition Vehicle Sensors

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    Empfohlene Zitierweise
    Masino, J. 2021. Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000104538
    Masino, J., 2021. Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000104538
    Masino, J. Road Condition Estimation with Data Mining Methods Using Vehicle Based Sensors. KIT Scientific Publishing, 2021. DOI: https://doi.org/10.5445/KSP/1000104538
    Masino, J. (2021). Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000104538
    Masino, Johannes. 2021. Road Condition Estimation with Data Mining Methods Using Vehicle Based Sensors. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000104538



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    Weitere Informationen

    Veröffentlicht am 31. März 2021

    Sprache

    Englisch

    Seitenanzahl:

    234

    ISBN
    Paperback 978-3-7315-1004-8

    DOI
    https://doi.org/10.5445/KSP/1000104538