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» Bayesian Landmark Learning for Mobile Robot Localization
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ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
15 years 10 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
AROBOTS
2002
138views more  AROBOTS 2002»
15 years 5 months ago
Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-Based Model
This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video color camera and a stereo-vision system. We focus on the interest of such ...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy
124
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ICRA
2000
IEEE
91views Robotics» more  ICRA 2000»
15 years 10 months ago
Bayesian Estimation and Kalman Filtering: A Unified Framework for Mobile Robot Localization
Stergios I. Roumeliotis, George A. Bekey
IROS
2008
IEEE
139views Robotics» more  IROS 2008»
16 years 6 days ago
Estimating landmark locations from geo-referenced photographs
Abstract— The problem of estimating the positions of landmarks using a mobile robot equipped with a camera has intensively been studied in the past. In this paper, we consider a ...
Henrik Kretzschmar, Cyrill Stachniss, Christian Pl...
147
Voted
JIRS
2002
115views more  JIRS 2002»
15 years 5 months ago
CAD-Vision-Range-Based Self-Localization for Mobile Robot Using One Landmark
X. J. Li, A. T. P. So, S. K. Tso