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JFR
2008
103views more  JFR 2008»
13 years 8 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...
CVPR
2009
IEEE
14 years 6 months ago
Visual loop closing using multi-resolution SIFT grids in metric-topological SLAM
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...
Vivek Pradeep, Gérard G. Medioni, James Wei...
ICRA
2006
IEEE
123views Robotics» more  ICRA 2006»
14 years 2 months ago
Bounding Uncertainty in EKF-SLAM: the Robocentric Local Approach
— This paper addresses the consistency issue of the Extended Kalman Filter approach to the simultaneous localization and mapping (EKF-SLAM) problem. Linearization of the inherent...
Ruben Martinez-Cantin, José A. Castellanos
ICPR
2008
IEEE
14 years 9 months ago
Merging maps of multiple robots
Merging local maps, acquired by multiple robots, into a global map, (also known as map merging) is one of the important issues faced by virtually all cooperative exploration techn...
Longin Jan Latecki, Marc Sobel, Nagesh Adluru, Rol...
ICRA
2003
IEEE
158views Robotics» more  ICRA 2003»
14 years 1 months ago
Probabilistic cooperative localization and mapping in practice
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. ...