In this paper, we outline the sensing system used for the visual pose control of our experimental car-like vehicle, the autonomous tractor. The sensing system consists of a magnetic compass, an omnidirectional camera and a low-resolution odometry system. In this work, information from these sensors is fused using complementary filters. Complementary filters provide a means of fusing information from sensors with different characteristics in order to produce a more reliable estimate of the desired variable. Here, the range and bearing of landmarks observed by the vision system are fused with odometry information and a vehicle model, providing a more reliable estimate of these states. We also present a method of combining a compass sensor with odometry and a vehicle model to improve the heading estimate.


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    Titel :

    Robust pose estimation for a car-like vehicle


    Beteiligte:
    Usher, K. (Autor:in) / Dunbabin, M. (Autor:in) / Corke, P. (Autor:in) / Ridley, P. (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    6 Seiten, 11 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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