Slippery road detection by using different methods of polarised light

Johan Casselgren (Corresponding author), Matti Kutila, Maria Jokela

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    7 Citations (Scopus)


    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 PublicationBerlin
    ISBN (Electronic)978-3-642-29673-4
    ISBN (Print)978-3-642-29672-7, 978-3-642-43146-3
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication
    Event16th Advanced Microsystems for Automotive Applications Conference, AMAA 2012 - Berlin, Germany
    Duration: 30 May 201231 May 2012


    Conference16th Advanced Microsystems for Automotive Applications Conference, AMAA 2012
    Abbreviated titleAMAA 2012


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