Most target tracking algorithms implicitly assume that target exists. There are only a few techniques that address the target existence problem along with target tracking. For example, (Integrated Probabilistic Data Association) IPDA filter addresses the target tracking and target existence problems simultaneously and it does so under at most one target assumption. In recent times random sets have been proposed as a general framework for multiple target tracking problem. However, its relationship to well understood existing tracking algorithms like IPDA has not been explored. In this paper, we show that under appropriate conditions random sets provide appropriate mathematical framework for solving the joint target existence and state estimation problem and subsequently show that it results in IPDA under appropriate simplifying assumptions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Bayesian approaches to track existence - IPDA and random sets


    Beteiligte:
    Challa, S. (Autor:in) / Ba-Ngu Vo, (Autor:in) / Xuezhi Wang, (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    486854 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Bayesian Approaches to Track Existance - IPDA and Random Sets

    Challa, S. / Vo, B.-N. / Wang, X. et al. | British Library Conference Proceedings | 2002


    PDS API Status for IPDA

    Hughes, Steve / Law, Emily / Crichton, Dan et al. | NTRS | 2020



    International Planetary Data Alliance (IPDA) Information Model

    Hughes, John Steven / Beebe, R. / Guinness, E. et al. | NTRS | 2007


    IPDA PDS4 Tools and APIs

    Hughes, Steve / Loubrieu, Thomas / Law, Emily et al. | NTRS | 2021