The problem of estimating pseudobearing rate information of an airborne target based on measurements from a vision sensor is considered. Novel image speed and heading angle estimators are presented that exploit image morphology, hidden Markov model (HMM) filtering, and relative entropy rate (RER) concepts to allow pseudobearing rate information to be determined before (or whilst) the target track is being estimated from vision information.


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    Title :

    Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters


    Contributors:
    Lai, John (author) / Ford, Jason J. (author) / O'Shea, Peter (author) / Mejias, Luis (author)


    Publication date :

    2013-10-01


    Size :

    3069460 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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