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» Probabilistic Mapping of an Environment by a Mobile Robot
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RAS
2007
102views more  RAS 2007»
13 years 6 months ago
Fast and accurate SLAM with Rao-Blackwellized particle filters
Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter in which each ...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
14 years 1 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
ICRA
2002
IEEE
171views Robotics» more  ICRA 2002»
14 years 9 days ago
Robust Tracking and Structure from Motion with Sample Based Uncertainty Representation
Geometric reconstruction of the environment from images is critical in autonomous mapping and robot navigation. Geometric reconstruction involves feature tracking, i.e., locating ...
Peng Chang, Martial Hebert
ICRA
2008
IEEE
126views Robotics» more  ICRA 2008»
14 years 1 months ago
Towards detection of orthogonal planes in monocular images of indoor environments
— In this paper, we describe the components of a novel algorithm for the extraction of dominant orthogonal planar structures from monocular images taken in indoor environments. T...
Branislav Micusík, Horst Wildenauer, Markus...
ICPR
2006
IEEE
14 years 8 months ago
A Split & Merge Approach to Metric-Topological Map-Building
We present a novel split and merge based method for dividing a given metric map into distinct regions, thus effectively creating a topological map on top of a metric one. The init...