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Proceedings ArticleDOI

A mobile robot using a panoramic view

Claude Pegard, +1 more
- Vol. 1, pp 89-94
TLDR
An optical omnidirectional sensor which can give, with an adapted software, an absolute localization and the matching algorithm allowing a local observed scene to be replaced in the global navigation area is presented.
Abstract
Mobile robots use actually a combination of internal and external sensors to determine their position and orientation in a path following period. Incremental encoders, gyrometers are generally used to give an approximative estimation of localization. Nevertheless, the cumulative drifts of these internal sensors must be periodically corrected with an exteroceptive sensor. So, the authors present, in this paper, an optical omnidirectional sensor which can give, with an adapted software, an absolute localization. This sensor is made of a CCD video camera associated with a conic shaped reflector; so, a view of a 2 /spl pi/ radian field is available to compute the position of the robot. The authors report the matching algorithm allowing a local observed scene to be replaced in the global navigation area. The authors conduct the accuracy analysis of this global positioning system, and present the experimental results.

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Citations
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References
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TL;DR: An algorithm for robot localization using visual landmarks is described, which determines both the correspondence between observed landmarks and a preloaded map, and the location of the robot from those correspondences.
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TL;DR: A fast pixel-based algorithm is developed that uses careful code optimization and selective processing to achieve fast extraction of lines for use in vision-guided mobile robot navigation.