• DocumentCode
    580716
  • Title

    I see you, you see me: Cooperative localization through bearing-only mutually observing robots

  • Author

    Giguere, Philippe ; Rekleitis, Ioannis ; Latulippe, Maxime

  • Author_Institution
    Dept. d´´Inf. et de Genie Logiciel, Univ. Laval, Quebec City, QC, Canada
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    863
  • Lastpage
    869
  • Abstract
    Cooperative localization is one of the fundamental techniques in GPS-denied environments, such as underwater, indoor, or on other planets, where teams of robots use each other to improve their pose estimation. In this paper, we present a novel schema for performing cooperative localization using bearing only measurements. These measurements correspond to the angles of pairs of landmarks located on each robot, extracted from camera images. Thus, the only exteroceptive measurements used are the camera images taken by each robot, under the condition that both cameras are mutually visible. An analytical solution is derived, together with an analysis of uncertainty as a function to the relative pose of the robots. A theoretical comparison with a standard stereo camera pose reconstruction is also provided. Finally, the feasibility and performance of the proposed method were validated, through simulations and experiments with a mobile robot setup.
  • Keywords
    Global Positioning System; image reconstruction; image sensors; mobile robots; pose estimation; robot vision; stereo image processing; GPS denied environments; bearing only mutually observing robots; camera images; cooperative localization; exteroceptive measurements; mobile robot setup; pose estimation; stereo camera pose reconstruction; Approximation methods; Cameras; Extraterrestrial measurements; Robot vision systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6385965
  • Filename
    6385965