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» Bayesian Landmark Learning for Mobile Robot Localization
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ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 1 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
CVPR
2005
IEEE
14 years 9 months ago
Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor
In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, whi...
Eric Royer, Maxime Lhuillier, Michel Dhome, Thierr...
ICRA
2009
IEEE
113views Robotics» more  ICRA 2009»
14 years 2 months ago
Visual topological SLAM and global localization
— Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological navigation using vision has the advantage of offeri...
Adrien Angeli, Stéphane Doncieux, Jean-Arca...
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
14 years 16 days ago
Mobile Robot Localization using an Incremental Eigenspace Model
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
Matej Artac, Matjaz Jogan, Ales Leonardis
CVPR
1999
IEEE
14 years 9 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...