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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    Titel :

    Dominant Driving Operations in Curve Sections Differentiating Skilled and Unskilled Drivers


    Beteiligte:
    Li, Shuguang (Autor:in) / Yamabe, Shigeyuki (Autor:in) / Sato, Yoichi (Autor:in) / Hirasawa, Takayuki (Autor:in) / Yoshihiro, Suda (Autor:in) / Chandrasiri, P.N. (Autor:in) / Nawa, Kazunari (Autor:in) / Matsumura, Takeshi (Autor:in) / Taguchi, Koji (Autor:in)


    Erscheinungsdatum :

    2012


    Format / Umfang :

    14 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Dominant Driving Operations in Curve Sections Differentiating Skilled and Unskilled Drivers

    Li, Shuguang / Yamabe, Shigeyuki / Sato, Yoichi et al. | Springer Verlag | 2012


    Dominant Driving Operations in Curve Sections Differentiating Skilled and Unskilled Drivers F2012-I01-016

    Li, S. / Yamabe, S. / Sato, Y. et al. | British Library Conference Proceedings | 2013


    Learning Characteristic Driving Operations in Curve Sections that Reflect Drivers’ Skill Levels

    Li, Shuguang / Yamabe, Shigeyuki / Sato, Yoichi et al. | Springer Verlag | 2014


    Method and apparatus of differentiating drivers based on driving behaviors

    BAI FAN / KAR GORKEM / MARTIN DOUGLAS C et al. | Europäisches Patentamt | 2019

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