• DocumentCode
    708799
  • Title

    Self-positioning of a team of flying smart cameras

  • Author

    Poiesi, Fabio ; Cavallaro, Andrea

  • Author_Institution
    Centre for Intell. Sensing, Queen Mary, Univ. of London, London, UK
  • fYear
    2015
  • fDate
    7-9 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Quadcopters are highly maneuverable and can provide an effective means for an agile dynamic positioning of sensors such as cameras. In this paper we propose a method for the self-positioning of a team of camera-equipped quadcopters (flying cameras) around a moving target. The self-positioning task is driven by the maximization of the monitored surface of the moving target based on a dynamic flight model combined with a collision avoidance algorithm. Each flying camera only knows the relative distance of neighboring flying cameras and its desired position with respect to the target. Given a team of up to 12 flying cameras, we show they can achieve a stable time-varying formation around a moving target without collisions.
  • Keywords
    aerospace control; autonomous aerial vehicles; collision avoidance; image sensors; intelligent sensors; position control; time-varying systems; camera-equipped quadcopters; collision avoidance algorithm; dynamic flight model; flying smart cameras; team self-positioning; time-varying formation stability; Cameras; Robot vision systems; Standards; Target tracking; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-8054-3
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2015.7106943
  • Filename
    7106943