Utilization of Optical Road Surface Condition Detection around Intersections

Matti Kutila, Maria Jokela, Bernd Rösslern, Jürgen Weingart

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

    2 Citations (Scopus)

    Abstract

    This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.
    Original languageEnglish
    Title of host publicationAdvanced Microsystems for Automotive Applications 2009
    Subtitle of host publicationSmart Systems for Safety, Sustainability, and Comfort
    EditorsGereon Meyer, Jürgen Valldorf, Wolfgang Gessner
    Place of PublicationBerlin
    PublisherSpringer
    Pages109-127
    ISBN (Electronic)978-3-642-00745-3
    ISBN (Print)978-3-642-00744-6
    DOIs
    Publication statusPublished - 2009
    MoE publication typeA3 Part of a book or another research book

    Fingerprint

    Condition monitoring
    Computer vision
    Lighting

    Keywords

    • camera
    • machine vision
    • traffic safety
    • intersection
    • co-operative traffic
    • road condition
    • ice
    • water
    • snow

    Cite this

    Kutila, M., Jokela, M., Rösslern, B., & Weingart, J. (2009). Utilization of Optical Road Surface Condition Detection around Intersections. In G. Meyer, J. Valldorf, & W. Gessner (Eds.), Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort (pp. 109-127). Berlin: Springer. https://doi.org/10.1007/978-3-642-00745-3_9
    Kutila, Matti ; Jokela, Maria ; Rösslern, Bernd ; Weingart, Jürgen. / Utilization of Optical Road Surface Condition Detection around Intersections. Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. editor / Gereon Meyer ; Jürgen Valldorf ; Wolfgang Gessner. Berlin : Springer, 2009. pp. 109-127
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    abstract = "This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93{\%} has been found for the detection of icy roads, while lower values around 60{\%} have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.",
    keywords = "camera, machine vision, traffic safety, intersection, co-operative traffic, road condition, ice, water, snow",
    author = "Matti Kutila and Maria Jokela and Bernd R{\"o}sslern and J{\"u}rgen Weingart",
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    Kutila, M, Jokela, M, Rösslern, B & Weingart, J 2009, Utilization of Optical Road Surface Condition Detection around Intersections. in G Meyer, J Valldorf & W Gessner (eds), Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. Springer, Berlin, pp. 109-127. https://doi.org/10.1007/978-3-642-00745-3_9

    Utilization of Optical Road Surface Condition Detection around Intersections. / Kutila, Matti; Jokela, Maria; Rösslern, Bernd; Weingart, Jürgen.

    Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. ed. / Gereon Meyer; Jürgen Valldorf; Wolfgang Gessner. Berlin : Springer, 2009. p. 109-127.

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

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    T1 - Utilization of Optical Road Surface Condition Detection around Intersections

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    AU - Rösslern, Bernd

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    N2 - This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.

    AB - This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.

    KW - camera

    KW - machine vision

    KW - traffic safety

    KW - intersection

    KW - co-operative traffic

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    KW - ice

    KW - water

    KW - snow

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    Kutila M, Jokela M, Rösslern B, Weingart J. Utilization of Optical Road Surface Condition Detection around Intersections. In Meyer G, Valldorf J, Gessner W, editors, Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. Berlin: Springer. 2009. p. 109-127 https://doi.org/10.1007/978-3-642-00745-3_9