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2002
IEEE

Uniform Monte Carlo Localization - Fast and Robust Self-Localization Method for Mobile Robots

9 years 4 months ago
Uniform Monte Carlo Localization - Fast and Robust Self-Localization Method for Mobile Robots
In this paper, we describe a novel self-localizationalgorithm. Self-Localizationmethods are required for to lowercomputational costand handling vague sensordata. Thus, we propose to use only uniformdistributionto represent probability distributions in Monte Carlo Localization (MCL),and name this method UniformMonte Carlo Localization(UniformMCL). Wemanifestthe low computational cost and robustness of UniformMCL in the environment of RoboCup Sony Legged Robot League. Keywords - Localization,Mote Carlo Method, Mobile robots, RoboCup.
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Ta
Added 15 Jul 2010
Updated 15 Jul 2010
Type Conference
Year 2002
Where ICRA
Authors Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Tamio Arai, Hideo Yuasa, Jun Ota
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