In-vehicle sensor data fusion for road friction monitoring

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

    5 Citations (Scopus)

    Abstract

    This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages349-352
    ISBN (Electronic)978-1-4577-1481-8
    ISBN (Print)978-1-4577-1479-5
    DOIs
    Publication statusPublished - 2011
    MoE publication typeA4 Article in a conference publication
    EventIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 - Cluj-Napoca, Romania
    Duration: 25 Aug 201127 Aug 2011

    Conference

    ConferenceIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
    Abbreviated titleICCP 2011
    CountryRomania
    CityCluj-Napoca
    Period25/08/1127/08/11

    Fingerprint

    Sensor data fusion
    Friction
    Monitoring
    Cameras
    Deceleration
    Global positioning system
    Tunnels

    Keywords

    • Data fusion
    • road friction monitoring
    • IEEE 802.11p
    • inertia unit
    • IcOR
    • friction
    • machine vision
    • camera

    Cite this

    Kutila, M., Pyykönen, P., Kauvo, K., & Eloranta, P. (2011). In-vehicle sensor data fusion for road friction monitoring. In Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 (pp. 349-352). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICCP.2011.6047895
    Kutila, Matti ; Pyykönen, Pasi ; Kauvo, Kimmo ; Eloranta, Pekka. / In-vehicle sensor data fusion for road friction monitoring. Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. IEEE Institute of Electrical and Electronic Engineers , 2011. pp. 349-352
    @inproceedings{82adefa5a3fc4a6296f3fac4e12fa533,
    title = "In-vehicle sensor data fusion for road friction monitoring",
    abstract = "This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 {\%} when driving dark environment like tunnels or night time",
    keywords = "Data fusion, road friction monitoring, IEEE 802.11p, inertia unit, IcOR, friction, machine vision, camera",
    author = "Matti Kutila and Pasi Pyyk{\"o}nen and Kimmo Kauvo and Pekka Eloranta",
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    year = "2011",
    doi = "10.1109/ICCP.2011.6047895",
    language = "English",
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    Kutila, M, Pyykönen, P, Kauvo, K & Eloranta, P 2011, In-vehicle sensor data fusion for road friction monitoring. in Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. IEEE Institute of Electrical and Electronic Engineers , pp. 349-352, IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011, Cluj-Napoca, Romania, 25/08/11. https://doi.org/10.1109/ICCP.2011.6047895

    In-vehicle sensor data fusion for road friction monitoring. / Kutila, Matti; Pyykönen, Pasi; Kauvo, Kimmo; Eloranta, Pekka.

    Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. IEEE Institute of Electrical and Electronic Engineers , 2011. p. 349-352.

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

    TY - GEN

    T1 - In-vehicle sensor data fusion for road friction monitoring

    AU - Kutila, Matti

    AU - Pyykönen, Pasi

    AU - Kauvo, Kimmo

    AU - Eloranta, Pekka

    N1 - Project code: 74349

    PY - 2011

    Y1 - 2011

    N2 - This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time

    AB - This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time

    KW - Data fusion

    KW - road friction monitoring

    KW - IEEE 802.11p

    KW - inertia unit

    KW - IcOR

    KW - friction

    KW - machine vision

    KW - camera

    U2 - 10.1109/ICCP.2011.6047895

    DO - 10.1109/ICCP.2011.6047895

    M3 - Conference article in proceedings

    SN - 978-1-4577-1479-5

    SP - 349

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    BT - Proceedings

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    Kutila M, Pyykönen P, Kauvo K, Eloranta P. In-vehicle sensor data fusion for road friction monitoring. In Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. IEEE Institute of Electrical and Electronic Engineers . 2011. p. 349-352 https://doi.org/10.1109/ICCP.2011.6047895