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ICRA
2002
IEEE
126views Robotics» more  ICRA 2002»
13 years 9 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...
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
AMS
2007
Springer
294views Robotics» more  AMS 2007»
13 years 11 months ago
Active Monte Carlo Localization in Outdoor Terrains Using Multi-level Surface Maps
Abstract. In this paper we consider the problem of active mobile robot localization with range sensors in outdoor environments. In contrast to passive approaches our approach activ...
Rainer Kümmerle, Patrick Pfaff, Rudolph Trieb...
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 9 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
13 years 11 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone