• DocumentCode
    1739832
  • Title

    Cooperation between two omnidirectional perception systems for mobile robot localization

  • Author

    Clerentin, Arnaud ; Delahoche, Laurent ; Brassart, Eric

  • Author_Institution
    Centre de Robotique d´´Electrotech. et d´´Autom., Amiens, France
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1499
  • Abstract
    In this paper, an absolute localization paradigm based on the cooperation of an omnidirectional vision system composed of a conical mirror and a CCD camera and a low cost panoramic range finder system is reported. These two sensors, which have been used independently until now, provide some complementary data. This association enables us to build a robust sensorial model which integrates an important number of significant primitives. We can thus realize an absolute localization of the mobile robot in particular configurations, like symmetric environments, where it is not possible to determine the position with the use of only one of the two sensors. In a first part, we present our global perception system. In a second part, we describe our sensorial model building approach. Finally we present an absolute localization method which uses three matching criteria fused thanks to the combination rules of the Dempster-Shafer theory. The basic probability assignment got for each primitive matching enables to estimate the reliability of the localization. We test our global absolute localization system on several robots´ elementary moves in an indoor and symmetric environment
  • Keywords
    CCD image sensors; distance measurement; inference mechanisms; mobile robots; navigation; robot vision; sensor fusion; CCD camera; Dempster-Shafer theory; absolute localization method; absolute localization paradigm; basic probability assignment; conical mirror; global absolute localization system; indoor symmetric environment; low-cost panoramic range finder system; matching criteria; mobile robot localization; omnidirectional perception systems; omnidirectional vision system; primitive matching; robust sensorial model; sensorial model building approach; symmetric environments; Costs; Dead reckoning; Machine vision; Mobile robots; Robot sensing systems; Robot vision systems; Robustness; Sensor systems; Service robots; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    0-7803-6348-5
  • Type

    conf

  • DOI
    10.1109/IROS.2000.893232
  • Filename
    893232