Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
Dissertations in Series (Dissertationen in Schriftenreihe)
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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.
Keywords
Maschinelles Lernen; Fahrzeugtechnik; Straßenschäden; Fahrzeugsensorik; Maschine Learning; Vehicle Technology; Road Condition; Vehicle SensorsDOI
10.5445/KSP/1000104538ISBN
9783731510048, 9783731510048Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
Karlsruhe, 2021Series
Karlsruher Schriftenreihe Fahrzeugsystemtechnik, 77Classification
Mechanical engineering & materials
Mechanical engineering and materials