This work concentrates on the estimation problems of vehicle lateral states. Based on the two-degree-freedom vehicle model, considering the impacts of the vehicle longitudinal velocity to the vehicle lateral states, we propose a vehicle lateral state observer using the Kalman-Bucy filter. The proposed observer was verified by the simulation experiments. The results show that the proposed method can effectively provide accurate estimation of the vehicle lateral velocity and yaw rate, and filter the process noise and measurement noise as well.


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    Title :

    Vehicle Lateral States Estimation Using Kalman-Bucy Filter


    Contributors:
    Zhao, Jin (author) / Zhao, Rongchen (author) / He, Feng (author)


    Publication date :

    2012


    Size :

    9 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Vehicle Lateral States Estimation Using Kalman-Bucy Filter

    Zhao, Jin / Zhao, Rongchen / He, Feng | Springer Verlag | 2012


    Vehicle lateral states estimation using Kalman-Bucy filter

    Zhao,J. / Zhao,R. / He,F. et al. | Automotive engineering | 2012


    Vehicle Lateral States Estimation Using Kalman-Bucy Filter F2012-G04-005

    Zhao, J. / Zhao, R. / He, F. et al. | British Library Conference Proceedings | 2013