Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
| dc.contributor.author | Masino, Johannes | |
| dc.date.accessioned | 2021-05-28T02:00:40Z | |
| dc.date.available | 2021-05-28T02:00:40Z | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-05-27T09:28:12Z | |
| dc.identifier | ONIX_20210527_9783731510048_19 | |
| dc.identifier | 1869-6058 | |
| dc.identifier | https://library.oapen.org/handle/20.500.12657/48822 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/70074 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.relation.ispartofseries | Karlsruher Schriftenreihe Fahrzeugsystemtechnik | |
| dc.rights | open access | |
| dc.subject.classification | bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials | |
| dc.subject.other | Maschinelles Lernen | |
| dc.subject.other | Fahrzeugtechnik | |
| dc.subject.other | Straßenschäden | |
| dc.subject.other | Fahrzeugsensorik | |
| dc.subject.other | Maschine Learning | |
| dc.subject.other | Vehicle Technology | |
| dc.subject.other | Road Condition | |
| dc.subject.other | Vehicle Sensors | |
| dc.subject.other | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials | |
| dc.title | Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors | |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000104538 | |
| oapen.relation.isPublishedBy | 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 | |
| oapen.relation.isbn | 9783731510048 | |
| oapen.pages | 234 | |
| oapen.place.publication | Karlsruhe | |
| dc.seriesnumber | 77 |
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