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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    Title :

    Extended Kalman Filter Based Magnetic Guidance for Intelligent Vehicles


    Contributors:
    Xu, H.G. (author) / Wang, C.X. (author) / Yang, R.Q. (author) / Yang, M. (author)


    Publication date :

    2006-01-01


    Size :

    1276067 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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