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Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

dc.contributor.authorMasino, Johannes
dc.date.accessioned2021-05-28T02:00:40Z
dc.date.available2021-05-28T02:00:40Z
dc.date.issued2021
dc.date.submitted2021-05-27T09:28:12Z
dc.identifierONIX_20210527_9783731510048_19
dc.identifier1869-6058
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48822
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/70074
dc.description.abstractThe 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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials
dc.subject.otherMaschinelles Lernen
dc.subject.otherFahrzeugtechnik
dc.subject.otherStraßenschäden
dc.subject.otherFahrzeugsensorik
dc.subject.otherMaschine Learning
dc.subject.otherVehicle Technology
dc.subject.otherRoad Condition
dc.subject.otherVehicle Sensors
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleRoad Condition Estimation with Data Mining Methods using Vehicle Based Sensors
dc.typebook
oapen.identifier.doi10.5445/KSP/1000104538
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510048
oapen.pages234
oapen.place.publicationKarlsruhe
dc.seriesnumber77


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open access
Except where otherwise noted, this item's license is described as open access