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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Study on Vehicle Driving Environment Recognition


    Additional title:

    Sae Technical Papers


    Contributors:
    Anlin, Ge (author) / Hui, Jin (author) / Yulong, Lei (author) / Tongli, Lu (author) / Mingkui, Niu (author)

    Conference:

    SAE 2001 World Congress ; 2001



    Publication date :

    2001-03-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A study on vehicle driving environment recognition

    Anlin,G. / Hui,J. / Yulong,L. et al. | Automotive engineering | 2001


    Vehicle driving environment recognition apparatus

    OGASAWARA TOYOKAZU | European Patent Office | 2016

    Free access

    2001-01-1277 A Study on Vehicle Driving Environment Recognition

    Anlin, G. / Hui, J. / Yulong, L. et al. | British Library Conference Proceedings | 2001


    DRIVING ENVIRONMENT RECOGNITION DEVICE

    GOTO YUHI | European Patent Office | 2023

    Free access

    Recognition of driving environment on community roads for predictive vehicle controls

    Ito,T. / Mouri,Y. / Kamata,M. et al. | Automotive engineering | 2014