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» Fuzzy Adaptive Particle Filter for Localization of a Mobile ...
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JFR
2008
103views more  JFR 2008»
13 years 4 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...
ICRA
2005
IEEE
152views Robotics» more  ICRA 2005»
13 years 10 months ago
Dynamic Vehicle Localization using Constraints Propagation Techniques on Intervals A comparison with Kalman Filtering
-In order to implement a continuous and robust dynamic localization of a mobile robot, the fusion of dead reckoning and absolute sensors is often used. Depending on the objectives ...
Amadou Gning, Philippe Bonnifait
ICPR
2006
IEEE
14 years 6 months ago
Data Fusion for 3D Gestures Tracking using a Camera mounted on a Robot
This article describes a multiple feature data fusion applied to an auxiliary particle filter for markerless tracking of 3D two-arm gestures by using a single camera mounted on a ...
Paulo Menezes, Frédéric Lerasle, Jor...
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
13 years 11 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...
ICRA
1994
IEEE
127views Robotics» more  ICRA 1994»
13 years 9 months ago
A Comparison of Position Estimation Techniques Using Occupancy Grids
A mobile robot requires perception of its local environment for both sensor based locomotion and for position estimation. Occupancy grids, based on ultrasonic range data, provide ...
Bernt Schiele, James L. Crowley