• DocumentCode
    622342
  • Title

    A survey of optical flow techniques for UAV navigation applications

  • Author

    Haiyang Chao ; Yu Gu ; Napolitano, M.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2013
  • fDate
    28-31 May 2013
  • Firstpage
    710
  • Lastpage
    716
  • Abstract
    Optical flow has been widely used by insects and birds to support navigation functions. Such information has appealing capabilities for application to small or micro unmanned aerial vehicles (UAVs), especially for navigation and collision avoidance in urban or indoor areas. The purpose of this paper is to provide a survey of existing optical flow techniques for UAV navigation applications. Detailed comparisons are made among different optical-flow-aided navigation solutions with emphasis on the sensor hardware as well as optical flow motion models. A summary of current research status and future research directions are further discussed.
  • Keywords
    autonomous aerial vehicles; collision avoidance; image motion analysis; image sequences; mobile robots; robot vision; sensors; UAV navigation application; collision avoidance; optical flow motion model; optical flow technique; sensor hardware; unmanned aerial vehicle; Biomedical optical imaging; Cameras; Estimation; Navigation; Optical imaging; Optical sensors; Optical variables measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Unmanned Aircraft Systems (ICUAS), 2013 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-0815-8
  • Type

    conf

  • DOI
    10.1109/ICUAS.2013.6564752
  • Filename
    6564752