We use the two-dimensional track-to-track assignment problem to analyze the trade-off between accuracy and runtime performance for three methods of estimating track-to-track assignment probabilities: enumeration of the k-best data association hypotheses, importance sampling (IS), and Markov chain Monte Carlo (MCMC) estimation. We also characterize the appropriate operating regime for each method.


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    Titel :

    A Comparison of Methods for Estimating Track-to-Track Assignment Probabilities


    Beteiligte:
    Kragel, B. (Autor:in) / Herman, S. (Autor:in) / Roseveare, N. (Autor:in)


    Erscheinungsdatum :

    2012-07-01


    Format / Umfang :

    3307933 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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