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
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    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",
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    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