Vision for Mobile Robot Navigation: A Survey

  title={Vision for Mobile Robot Navigation: A Survey},
  author={Guilherme N. DeSouza and Avinash C. Kak},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  • G. DeSouza, A. Kak
  • Published 1 February 2002
  • Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
Surveys the developments of the last 20 years in the area of vision for mobile robot navigation. Two major components of the paper deal with indoor navigation and outdoor navigation. For each component, we have further subdivided our treatment of the subject on the basis of structured and unstructured environments. For indoor robots in structured environments, we have dealt separately with the cases of geometrical and topological models of space. For unstructured environments, we have discussed… 
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This article describes the localization system of a free-navigating mobile robot, which is achieved by fusing single-image localization and dead-reckoning data by means of a statistical uncertainty evolution technique.
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This paper describes a vision-based navigation method in an indoor environment for an autonomous mobile robot which can avoid obstacles and a non-stop navigation is realized by a retroactive position correction system.
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