• DocumentCode
    2032111
  • Title

    A localization method based on two omnidirectional perception systems cooperation

  • Author

    Clerentin, Arnaud ; Delahoche, Laurent ; Pegard, Claude ; Gracsy, Eric Brassart

  • Author_Institution
    Groupe de Recherche sur l´´Anal. et la Commande des Syst., Amiens, France
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1219
  • Abstract
    This paper deals with an absolute localization paradigm based on the cooperation of an omnidirectional vision system and a low cost panoramic range finder system. These two perception systems used independently by our laboratory provide some complementary data. This association permits us to build a robust sensorial model which integrates an important number of significant primitives. The obtained sensorial model allows one to realize an absolute localization of the mobile robot, in particular, configurations where it is not possible to determine the position with the use of one of the two sensors. First, we present our global perception system. Next, we deal with our sensorial model building approach, and finally we present an absolute-localization method which uses a Dempster-Shafer approach. We analyze the performance of our global absolute localization system on several robot´s elementary moves, in an indoor environment
  • Keywords
    distance measurement; inference mechanisms; mobile robots; position control; robot vision; Dempster-Shafer theory; absolute-localization; mobile robot; omnidirectional perception systems; panoramic range finder; position control; root vision; sensorial model; Costs; Dead reckoning; Indoor environments; Laboratories; Machine vision; Mobile robots; Navigation; Robot sensing systems; Robustness; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844765
  • Filename
    844765