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» Bayesian Landmark Learning for Mobile Robot Localization
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ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 4 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
IJRR
2002
218views more  IJRR 2002»
13 years 4 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICRA
1999
IEEE
122views Robotics» more  ICRA 1999»
13 years 8 months ago
Learning Visual Landmarks for Pose Estimation
Abstract-- We present an approach to vision-based mobile robot localization, even without an a-priori pose estimate. This is accomplished by learning a set of visual features calle...
Robert Sim, Gregory Dudek
ICRA
2009
IEEE
138views Robotics» more  ICRA 2009»
13 years 11 months ago
Which landmark is useful? Learning selection policies for navigation in unknown environments
Abstract— In general, a mobile robot that operates in unknown environments has to maintain a map and has to determine its own location given the map. This introduces significant...
Hauke Strasdat, Cyrill Stachniss, Wolfram Burgard
ICRA
2002
IEEE
121views Robotics» more  ICRA 2002»
13 years 9 months ago
Building Multi-Level Models: From Landscapes to Landmarks
In this paper a complete strategy for scene modelling from sensory data acquired in a natural environment is defined. This strategy is applied to outdoor mobile robotics and goes f...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy, Be...