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AAAI
2000
13 years 6 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
JMLR
2010
184views more  JMLR 2010»
12 years 12 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
ICRA
2002
IEEE
126views Robotics» more  ICRA 2002»
13 years 10 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 ...
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Ta...
ICRA
2009
IEEE
155views Robotics» more  ICRA 2009»
13 years 11 months ago
Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenn
— We report our system and algorithm developments that enable a single mobile robot equipped with a directional antenna to simultaneously localize multiple unknown transient radi...
Dezhen Song, Chang-Young Kim, Jingang Yi
JFR
2008
103views more  JFR 2008»
13 years 5 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...