Our objective is to develop a new driving assist system that can help low-skilled drivers improve their driving skill. In this paper, we describe a statistical method we have developed to extract distinctions between high- and low-skilled drivers. There are three key contributions. The first is the introduction of wavelet transform to analyze the frequency character of driver operations. The second is a feature extraction technology based on AdaBoost, which selects a small number of critical operation features between high- and low-skilled drivers. The third is a simple definition for high- and low-skilled drivers. We performed a series of experiments using a driving simulator on a specially designed course including several curves and then used the proposed method to extract driving operation features showing the difference between the two groups.


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    Title :

    Dominant Driving Operations in Curve Sections Differentiating Skilled and Unskilled Drivers


    Contributors:


    Publication date :

    2012


    Size :

    14 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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