Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

Beschreibung

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.

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Johannes Masino

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

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