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IROS
2006
IEEE
111views Robotics» more  IROS 2006»
15 years 3 months ago
A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
Patrick Heinemann, Jürgen Haase, Andreas Zell
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
15 years 3 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
AMS
2007
Springer
294views Robotics» more  AMS 2007»
15 years 3 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...
ACG
2003
Springer
15 years 2 months ago
Monte-Carlo Go Developments
We describe two Go programs,  ¢¡¤£¦¥ and  ¢¡¤§¨£ , developed by a Monte-Carlo approach that is simpler than Bruegmann’s (1993) approach. Our method is based on Abra...
Bruno Bouzy, Bernard Helmstetter
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
15 years 1 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...