• DocumentCode
    3485957
  • Title

    Low-cost motion detection and counter attacking test bed for swarm UAVs

  • Author

    Wu, Zhiqiang ; Keatts, William ; Davari, Asad

  • Author_Institution
    West Virginia Univ. Inst. of Technol., Montgomery, WV, USA
  • fYear
    2005
  • fDate
    20-22 March 2005
  • Firstpage
    362
  • Lastpage
    366
  • Abstract
    Next generation swarm UAVs (unmanned aerial vehicles) are currently of strong interest in the Department of Defense as an important means to resolve conflicts in the future. The challenge of the swarm UAV system is that each UAV needs to be equipped with intelligent capability of gathering information, automatically detecting hostile objects (mostly in motion), automatically maneuvering to avoid attacks from hostile objects, and counter-attacking hostile objects, all at strict cost, power and weight limitations. In this paper, we describe the low-cost, motion-detection and counter-attacking hardware test bed we have built at WVUIT. This hardware test bed consists of an inexpensive video camera and related signal processing software we have developed. Equipped with the software, the test bed is able to (1) detect any mobile object within the viewable angle of the camera; (2) accurately locate the relative position of the moving object to the video camera and (3) control a motor mounted paintball marker to rotate to the direction of the moving object and fire towards it.
  • Keywords
    aerospace computing; aerospace robotics; aircraft control; image motion analysis; intelligent robots; military aircraft; motion control; object detection; performance evaluation; position control; program testing; remotely operated vehicles; robot vision; Department of Defense; counter-attacking hardware test bed; hostile object automatic detection; hostile object counter attack; intelligent information gathering; motion detection; signal processing software; swarm UAV; swarm unmanned aerial vehicles; video camera; Cameras; Costs; Counting circuits; Fires; Hardware; Motion detection; Object detection; Software testing; Unmanned aerial vehicles; Video signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-8808-9
  • Type

    conf

  • DOI
    10.1109/SSST.2005.1460937
  • Filename
    1460937