Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
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.
KeywordsMaschinelles Lernen; Fahrzeugtechnik; Straßenschäden; Fahrzeugsensorik; Maschine Learning; Vehicle Technology; Road Condition; Vehicle Sensors
PublisherKIT Scientific Publishing
Publication date and placeKarlsruhe, 2021
SeriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik, 77
Mechanical engineering & materials