Guidance is one of the key problems in the research of intelligent vehicles. This paper, proposed a magnetic guidance method for intelligent vehicle based on EKF (Extended Kalman Filter), which fuses magnetic sensors with encoders. Anisotropic Magnetoresistive (AMR) sensors are used instead of Hall-effect sensors in the proposed magnetic sensing system due to their high sensitivity and low cost. An EKF is applied to eliminate the cumulative error with the dead-reckoning method. Two types of field experiments have been performed on the roads, and results demonstrate the effectiveness and reliability of the proposed method.


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    Titel :

    Extended Kalman Filter Based Magnetic Guidance for Intelligent Vehicles


    Beteiligte:
    Xu, H.G. (Autor:in) / Wang, C.X. (Autor:in) / Yang, R.Q. (Autor:in) / Yang, M. (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    1276067 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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