With the rapid development of electronics and the growing demand for higher vehicle performance, driving environment recognition and self-adaptation are becoming more and more important for the vehicle control systems. A two-level intelligent real-time driving environment recognition architecture is proposed in this paper. The lower level does the fundamental recognition according to “driving condition” algorithms and the upper level makes inference and decision based on rules. Also, the application of the driving environment recognition in the automatic mechanical transmission (AMT) is introduced.


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    Titel :

    A Study on Vehicle Driving Environment Recognition


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Anlin, Ge (Autor:in) / Hui, Jin (Autor:in) / Yulong, Lei (Autor:in) / Tongli, Lu (Autor:in) / Mingkui, Niu (Autor:in)

    Kongress:

    SAE 2001 World Congress ; 2001



    Erscheinungsdatum :

    05.03.2001




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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