Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
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...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
Karlsruhe
KIT Scientific Publishing
2021
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| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
| LEADER | 02009namaa2200469uu 4500 | ||
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| 003 | oapen | ||
| 005 | 20210528 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 210528s2021 xx |||||o ||| 0|eng d | ||
| 020 | |a 9783731510048 | ||
| 020 | |a KSP/1000104538 | ||
| 024 | 7 | |a 10.5445/KSP/1000104538 |2 doi | |
| 040 | |a oapen |c oapen | ||
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a TG |2 bicssc | |
| 720 | 1 | |a Masino, Johannes |4 aut | |
| 245 | 0 | 0 | |a Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors |
| 260 | |a Karlsruhe |b KIT Scientific Publishing |c 2021 | ||
| 300 | |a 1 online resource (234 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruher Schriftenreihe Fahrzeugsystemtechnik | |
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |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. | ||
| 540 | |a Creative Commons |f by-sa/4.0 |2 cc |u http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a English | ||
| 650 | 7 | |a Mechanical engineering & materials |2 bicssc | |
| 653 | |a Fahrzeugsensorik | ||
| 653 | |a Fahrzeugtechnik | ||
| 653 | |a Maschine Learning | ||
| 653 | |a Maschinelles Lernen | ||
| 653 | |a Road Condition | ||
| 653 | |a Straßenschäden | ||
| 653 | |a Vehicle Sensors | ||
| 653 | |a Vehicle Technology | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/70074 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://library.oapen.org/bitstream/20.500.12657/48822/1/road-condition-estimation-with-data-mining-methods-using-vehicle-based-sensors.pdf |7 0 |z Open Access: DOAB, download the publication |