Using the vehicle as a sensor for road grip becomes more promising when the vehicle’s reaction to both longitudinal and lateral excitation is exploited. This results in separate two dimensional estimates for the lower bounds and maxima of the friction value. The estimates need to be summarized to one lower boundary for pavement detection as well as generalized for a road-centered quantity. We will refer to the latter as road grip. As a basis to derive the availability in terms of temporal and spatial road coverage, a functional development and prototype implementation of a twodimensional estimation algorithm was conducted. It exclusively uses information from automotive grade sensors.


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    Title :

    Road classification from two-dimensional model-based friction estimation


    Additional title:

    Proceedings


    Contributors:


    Publication date :

    2014-07-19


    Size :

    18 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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