Hybrid trackers incorporating a non-Markov modal model have been proposed. However, these algorithms use a restricted measurement set to identify the modal state. It is shown here that a renewal process model, along with broader measurement fusion, enhances modal classification in such estimators.


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    Title :

    Improved motion-mode estimation


    Contributors:
    Sworder, D.D. (author) / Boyd, J.E. (author)


    Publication date :

    2005-07-01


    Size :

    227638 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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