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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/7126

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Title: Landmark perception planning for mobile robot localization
Author(s): Armingol, José M.
Moreno, Luis
Escalera, Arturo de la
Salichs, Miguel A.
Publisher: IEEE
Issued date: 1998
Citation: IEEE International Conference on Robotics and Automation, 1998, p. 3425-3430
URI: http://hdl.handle.net/10016/7126
ISBN: 0-7803-4300-X
DOI: 10.1109/ROBOT.1998.680967
Description: IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998
Abstract: This paper presents a fuzzy perception planner that takes into account the time cost, the suitability of every landmark detection and the different uncertainties the robot encounters along its path for mobile robot localization. The sensor used is a camera with a motorized zoom on a pan & tilt platform and the artificial landmarks are circles detected through normalized grayscale correlation. An Extended Kalman Filter is used to correct the position and orientation of the vehicle. The resulting self-localization module has been integrated successfully in a more complicated navigation system.
Sponsor: The authors gratefully acknowledge the funds provided by the Spanish Government through the CICYT projects TAP94-711 and TAP96-657, and thank B.J. Carabao and M.J. Lopez for their experimental work with the planner using the B2 1 robot.
Review: PeerReviewed
Publisher version: http://dx.doi.org/10.1109/ROBOT.1998.680967
Rights: © IEEE
Appears in Collections:DISA - LSI - Artículos en Congresos Internacionales

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