Slippery road detection by using different methods of polarised light

Johan Casselgren, Matti Kutila, Maria Jokela

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

6 Citations (Scopus)

Abstract

Road friction measurement is an important issue for active safety systems on vehicles; hence knowledge of this key parameter can significantly improve the interventions on vehicle dynamics. This study compares two different on-board sensors for the classification of road conditions with polarised infrared light. Several tests are performed on a dedicated track, with focus on detection of dry or wet surfaces, and the presence of ice or snow. The work shows the capability of both sensors to provide a correct classification. In particular, results indicate how the monitored area, the presence of active illumination and the mounting position influence measurements and response times. It is concluded that both systems classify different road conditions in all cases. Performance of the Road eye system varied from 80 to 90 % whereas the camera based IcOR achieved 70-80 % accuracy level. Since these are being prototype sensors more development is needed before implemented into advanced safety applications
Original languageEnglish
Title of host publicationAdvanced Microsystems for Automotive Applications 2012
Subtitle of host publicationSmart Systems for Safe, Sustainable and Networked Vehicles
EditorsGereon Meyer
Place of PublicationHeidelberg
PublisherSpringer
Pages207-220
ISBN (Electronic)978-3-642-29673-4
ISBN (Print)978-3-642-29672-7
Publication statusPublished - 2012
MoE publication typeA3 Part of a book or another research book

Fingerprint

Light polarization
Sensors
Active safety systems
Position measurement
Snow
Mountings
Ice
Lighting
Cameras
Friction
Infrared radiation

Cite this

Casselgren, J., Kutila, M., & Jokela, M. (2012). Slippery road detection by using different methods of polarised light. In G. Meyer (Ed.), Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles (pp. 207-220). Heidelberg: Springer.
Casselgren, Johan ; Kutila, Matti ; Jokela, Maria. / Slippery road detection by using different methods of polarised light. Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles. editor / Gereon Meyer. Heidelberg : Springer, 2012. pp. 207-220
@inbook{ee3cf51f661841ce872da9ad391437a9,
title = "Slippery road detection by using different methods of polarised light",
abstract = "Road friction measurement is an important issue for active safety systems on vehicles; hence knowledge of this key parameter can significantly improve the interventions on vehicle dynamics. This study compares two different on-board sensors for the classification of road conditions with polarised infrared light. Several tests are performed on a dedicated track, with focus on detection of dry or wet surfaces, and the presence of ice or snow. The work shows the capability of both sensors to provide a correct classification. In particular, results indicate how the monitored area, the presence of active illumination and the mounting position influence measurements and response times. It is concluded that both systems classify different road conditions in all cases. Performance of the Road eye system varied from 80 to 90 {\%} whereas the camera based IcOR achieved 70-80 {\%} accuracy level. Since these are being prototype sensors more development is needed before implemented into advanced safety applications",
author = "Johan Casselgren and Matti Kutila and Maria Jokela",
note = "Project code: 77136",
year = "2012",
language = "English",
isbn = "978-3-642-29672-7",
pages = "207--220",
editor = "Gereon Meyer",
booktitle = "Advanced Microsystems for Automotive Applications 2012",
publisher = "Springer",
address = "Germany",

}

Casselgren, J, Kutila, M & Jokela, M 2012, Slippery road detection by using different methods of polarised light. in G Meyer (ed.), Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles. Springer, Heidelberg, pp. 207-220.

Slippery road detection by using different methods of polarised light. / Casselgren, Johan; Kutila, Matti; Jokela, Maria.

Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles. ed. / Gereon Meyer. Heidelberg : Springer, 2012. p. 207-220.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

TY - CHAP

T1 - Slippery road detection by using different methods of polarised light

AU - Casselgren, Johan

AU - Kutila, Matti

AU - Jokela, Maria

N1 - Project code: 77136

PY - 2012

Y1 - 2012

N2 - Road friction measurement is an important issue for active safety systems on vehicles; hence knowledge of this key parameter can significantly improve the interventions on vehicle dynamics. This study compares two different on-board sensors for the classification of road conditions with polarised infrared light. Several tests are performed on a dedicated track, with focus on detection of dry or wet surfaces, and the presence of ice or snow. The work shows the capability of both sensors to provide a correct classification. In particular, results indicate how the monitored area, the presence of active illumination and the mounting position influence measurements and response times. It is concluded that both systems classify different road conditions in all cases. Performance of the Road eye system varied from 80 to 90 % whereas the camera based IcOR achieved 70-80 % accuracy level. Since these are being prototype sensors more development is needed before implemented into advanced safety applications

AB - Road friction measurement is an important issue for active safety systems on vehicles; hence knowledge of this key parameter can significantly improve the interventions on vehicle dynamics. This study compares two different on-board sensors for the classification of road conditions with polarised infrared light. Several tests are performed on a dedicated track, with focus on detection of dry or wet surfaces, and the presence of ice or snow. The work shows the capability of both sensors to provide a correct classification. In particular, results indicate how the monitored area, the presence of active illumination and the mounting position influence measurements and response times. It is concluded that both systems classify different road conditions in all cases. Performance of the Road eye system varied from 80 to 90 % whereas the camera based IcOR achieved 70-80 % accuracy level. Since these are being prototype sensors more development is needed before implemented into advanced safety applications

M3 - Chapter or book article

SN - 978-3-642-29672-7

SP - 207

EP - 220

BT - Advanced Microsystems for Automotive Applications 2012

A2 - Meyer, Gereon

PB - Springer

CY - Heidelberg

ER -

Casselgren J, Kutila M, Jokela M. Slippery road detection by using different methods of polarised light. In Meyer G, editor, Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles. Heidelberg: Springer. 2012. p. 207-220