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| LEADER |
01301naaaa2200325uu 4500 |
| 001 |
48822 |
| 005 |
20210527 |
| 020 |
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|a KSP/1000104538
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| 020 |
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|a 9783731510048
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| 024 |
7 |
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|a 10.5445/KSP/1000104538
|c doi
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| 041 |
0 |
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|h English
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| 042 |
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|a dc
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| 100 |
1 |
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|a Masino, Johannes
|e auth
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| 245 |
1 |
0 |
|a Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
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| 260 |
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|a Karlsruhe
|b KIT Scientific Publishing
|c 2021
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| 300 |
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|a 1 electronic resource (234 p.)
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| 856 |
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|z Get fulltext
|u https://library.oapen.org/handle/20.500.12657/48822
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| 506 |
0 |
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|a Open Access
|2 star
|f Unrestricted online access
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| 520 |
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|a 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.
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| 540 |
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|a Creative Commons
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| 546 |
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|a English
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| 650 |
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7 |
|a Mechanical engineering & materials
|2 bicssc
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| 653 |
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|a Maschinelles Lernen
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| 653 |
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|a Fahrzeugtechnik
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| 653 |
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|a Straßenschäden
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| 653 |
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|a Fahrzeugsensorik
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| 653 |
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|a Maschine Learning
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| 653 |
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|a Vehicle Technology
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| 653 |
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|a Road Condition
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| 653 |
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|a Vehicle Sensors
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