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Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

dc.contributor.authorMasino, Johannes
dc.date.accessioned2025-03-07T14:35:41Z
dc.date.available2025-03-07T14:35:41Z
dc.date.issued2021
dc.date.submitted2021-05-27T09:28:12Z
dc.identifierONIX_20210527_9783731510048_19
dc.identifierOCN: 1258399535
dc.identifier1869-6058
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48822
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/154610
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.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and 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.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.collectionAG Universitätsverlage
oapen.pages234
oapen.place.publicationKarlsruhe
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
dc.seriesnumber77
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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