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» Monte Carlo Localization for Mobile Robots
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AAAI
2006
13 years 8 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
ICRA
2005
IEEE
149views Robotics» more  ICRA 2005»
14 years 1 months ago
A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM
— The problem of simultaneous localization and mapping has received much attention over the last years. Especially large scale environments, where the robot trajectory loops back...
Michael Kaess, Frank Dellaert
EUROS
2006
224views Robotics» more  EUROS 2006»
13 years 11 months ago
Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard...
ROBOCUP
2005
Springer
164views Robotics» more  ROBOCUP 2005»
14 years 28 days ago
Laser-Based Localization with Sparse Landmarks
Abstract. Self-localization in dynamic environments is a central problem in mobile robotics and is well studied in the literature. One of the most popular methods is the Monte Carl...
Andreas Strack, Alexander Ferrein, Gerhard Lakemey...
ROBOCUP
2004
Springer
84views Robotics» more  ROBOCUP 2004»
14 years 24 days ago
A New Omnidirectional Vision Sensor for Monte-Carlo Localization
In this paper, we present a new approach for omnidirectional vision-based self-localization in the RoboCup Middle-Size League. The omnidirectional vision sensor is used as a range ...
Emanuele Menegatti, Alberto Pretto, Enrico Pagello