• DocumentCode
    2670669
  • Title

    UAV formation flight based on vision sensor

  • Author

    Zhong, Yang ; Ting, Fang ; Qiongjian, Fan ; Delin, Luo

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    592
  • Lastpage
    597
  • Abstract
    This paper discusses the vision-based UAV formation flight methods, describes the critical section-formation guidance, moving object extracting, object tracking in detail. At the same time, we propose a real-time video drawing method to apply to flying vehicle object extracting, and introduce the unscented Kalman filtering(UKF) into object tracking to improve the often-used extended Kalman filtering(EKF). The simulation results show their efficiency.
  • Keywords
    Kalman filters; feature extraction; image sensors; remotely operated vehicles; space vehicles; target tracking; UAV formation flight methods; critical section-formation guidance; moving object extracting; object tracking; real-time video drawing method; unscented Kalman filtering; vision sensor; Aerospace engineering; Automatic control; Automation; Data mining; Educational institutions; Kalman filters; Navigation; Space technology; Target tracking; Unmanned aerial vehicles; Formation flight; Moving object extracting; Object tracking; UAV; UKF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605771
  • Filename
    4605771