This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement. Four kinds of typical dangerous driving behavior detection algorithms are designed. In addition, a slope detection algorithm based on low accuracy gyroscope is proposed to eliminate the interference of slope running. The effectiveness of the algorithms has been proved by lots experiments.


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    Titel :

    Dangerous driving behavior detection using smartphone sensors


    Beteiligte:
    Fu Li (Autor:in) / Hai Zhang (Autor:in) / Huan Che (Autor:in) / Xiaochen Qiu (Autor:in)


    Erscheinungsdatum :

    01.11.2016


    Format / Umfang :

    466255 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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