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


In this paper, we describe a novel self-localization algorithm. Self-Localization methods are required for to lower computational cost and handling vague sensor data. Thus, we propose to use only uniform distribution to represent probability distributions in Monte Carlo Localization (MCL), and name this method Uniform Monte Carlo Localization (Uniform MCL… (More)
DOI: 10.1109/ROBOT.2002.1014731


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