Coarsely calibrated visual servoing of a mobile robot using a catadioptric vision system

  • Authors:
  • Romeo Tatsambon Fomena;Han Ul Yoon;Andrea Cherubini;François Chaumette;Seth Hutchinson

  • Affiliations:
  • Université de Rennes 1, IRISA, Rennes-cedex, France;Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL;INRIA Rennes-Bretagne Atlantique, IRISA, Rennes-cedex, France;INRIA Rennes-Bretagne Atlantique, IRISA, Rennes-cedex, France;Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
  • Year:
  • 2009

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Abstract

A catadioptric vision system combines a camera and a mirror to achieve a wide field of view imaging system. This type of vision system has many potential applications in mobile robotics. This paper is concerned with the design of a robust image-based control scheme using a catadioptric vision system mounted on a mobile robot. We exploit the fact that the decoupling property contributes to the robustness of a control method. More precisely, from the image of a point, we propose a minimal and decoupled set of features measurable on any catadioptric vision system. Using the minimal set, a classical control method is proved to be robust in the presence of point range errors. Finally, experimental results with a coarsely calibrated mobile robot validate the robustness of the new decoupled scheme.