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...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Electrónico Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
Karlsruhe
KIT Scientific Publishing
2021
|
| Colección: | Karlsruher Schriftenreihe Fahrzeugsystemtechnik
77 |
| Materias: | |
| Acceso en línea: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
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 |