In this paper, a vision-based lane-keeping automated steering system is proposed and is successfully verified in our vehicle platform, TAIWAN iTS-1. The proposed steering system can achieve the accurate detection of the complicated road environment information; and more, the closed-loop automated lane-keeping steering system with virtual look-ahead is stable under varying speed operation. Furthermore, to achieve more manlike driving behavior such as smooth tuning, a fuzzy gain schedule technology is proposed to concern with lateral offset and instant-speed of the vehicle, and hence, to compensate the feedback controller for adapting to the steering wheel command appropriately. The proposed steering system is demonstrated via TAIWAN iTS-1 on the standard testing road in automotive research and testing center (ARTC) and highway road.


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    Titel :

    The automated lane-keeping design for an intelligent vehicle


    Beteiligte:
    Shinq-Jen Wu, (Autor:in) / Hsin-Han Chiang, (Autor:in) / Jau-Woei Perng, (Autor:in) / Tsu-Tian Lee, (Autor:in) / Chao-Jung Chen, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    954843 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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