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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Karlsruhe
KIT Scientific Publishing
2021
|
| Series: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
77 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000naaaa2200000uu 4500 | ||
|---|---|---|---|
| 001 | oapen_2024_20_500_12657_48822 | ||
| 005 | 20210527 | ||
| 003 | oapen | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210527s2021 xx |||||o ||| 0|eng d | ||
| 020 | |a KSP/1000104538 | ||
| 020 | |a 9783731510048 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5445/KSP/1000104538 |c doi | |
| 041 | 0 | |a eng | |
| 042 | |a dc | ||
| 072 | 7 | |a TG |2 bicssc | |
| 100 | 1 | |a Masino, Johannes |4 auth | |
| 245 | 1 | 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 electronic 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 |v 77 | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 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 |4 http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a English | ||
| 650 | 7 | |a Mechanical engineering & materials |2 bicssc | |
| 653 | |a Maschinelles Lernen | ||
| 653 | |a Fahrzeugtechnik | ||
| 653 | |a Straßenschäden | ||
| 653 | |a Fahrzeugsensorik | ||
| 653 | |a Maschine Learning | ||
| 653 | |a Vehicle Technology | ||
| 653 | |a Road Condition | ||
| 653 | |a Vehicle Sensors | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/id/acc24150-9c80-418e-a565-6bd3c8599a73/road-condition-estimation-with-data-mining-methods-using-vehicle-based-sensors.pdf |7 0 |z OAPEN Library: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/48822 |7 0 |z OAPEN Library: description of the publication |