Determination of Tyre-Road Friction Using Sensor Data Fusion

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

    Abstract

    This paper presents the sensor data fusion approach of the EU project FRICTI@N. The project objective was to create an on-board system for estimating friction and road slipperiness to enhance the performance of integrated and cooperative vehicle safety systems. Using a single sensor approach it is difficult to provide high quality friction information for multiple safety systems. Consequently, three types of sensors were used in the study: (I) existing in-vehicle sensors measuring vehicle dynamics, (II) environmental sensors, and (III) a tyre-based sensor prototype. A data fusion architecture is presented consisting of three feature fusion modules and a decision fusion module. The algorithms have been validated with a development vehicle and test results are presented achieving nearly continuous friction estimation.
    Original languageEnglish
    Title of host publicationProceedings of 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services
    Place of PublicationStockholm
    PublisherITS Congress Association
    Number of pages12
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    Event16th World Congress and Exhibition on Intelligent Transport Systems and Services - Stockholm, Sweden
    Duration: 21 Sep 200925 Sep 2009

    Conference

    Conference16th World Congress and Exhibition on Intelligent Transport Systems and Services
    CountrySweden
    CityStockholm
    Period21/09/0925/09/09

    Keywords

    • friction
    • data fusion
    • tyre
    • road
    • environmental
    • sensor
    • sensing
    • estimation

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