The goal of this work is to extend the navigational capabilities of an existing autonomous vehicle so that it can reliably traverse a real-time dynamic environment. The primary facility such a vehicle requires is the ability to estimate the motion of objects in its environment. We show how a multisensor motion estimation system can be built to give real time results while fusing data from a number of sensor modalities in order to increase accuracy. Unlike other motion estimation systems, ours will be a compact, low power, single board solution appropriate for use in current autonomous vehicles.


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    Titel :

    Motion estimation hardware for autonomous vehicle guidance


    Beteiligte:
    Kolodko, J. (Autor:in) / Peters, L. (Autor:in) / Vlacic, L. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    609098 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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