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Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

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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 estimat...

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Bibliographic Details
Main Author: Masino, Johannes (auth)
Format: Electronic Book Chapter
Language:English
Published: Karlsruhe KIT Scientific Publishing 2021
Series:Karlsruher Schriftenreihe Fahrzeugsystemtechnik
Subjects:
Mechanical engineering & materials
Maschinelles Lernen
Fahrzeugtechnik
Straßenschäden
Fahrzeugsensorik
Maschine Learning
Vehicle Technology
Road Condition
Vehicle Sensors
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary: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.
Physical Description:1 electronic resource (234 p.)
ISBN:KSP/1000104538
9783731510048
Access:Open Access

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