Research on the unmanned aerial vehicle (UAV) target tracking system and the development of the UAV target tracking methods are discussed. A mean shift-auxiliary particle filter (M-APF) algorithm is proposed. It adopts APF as its main framework of the tracking algorithm; then, the mean shift is applied to calculate the offset of a few auxiliary particles and move them to the local optimum position of the observed values. Simulation results show that the calculation cost and robustness of M-APF are superior to mean shift algorithm and APF algorithm and satisfy the UAV target tracking requirements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Comparison of UAV Target Tracking Techniques


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wego (Herausgeber:in) / Li, Dajian (Autor:in) / Liu, Huixia (Autor:in) / Dong, Yangxia (Autor:in) / Xi, Qingbiao (Autor:in) / He, Ruofei (Autor:in)


    Erscheinungsdatum :

    04.08.2015


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Comparison of UAV Target Tracking Techniques

    Li, Dajian / Liu, Huixia / Dong, Yangxia et al. | British Library Conference Proceedings | 2015



    A Comparison of Data Association Techniques for Target Tracking in Clutter

    Gad, A. / Majdi, F. / Farooq, M. et al. | British Library Conference Proceedings | 2002