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» Learning Landmarks for Robot Localization
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IROS
2008
IEEE
139views Robotics» more  IROS 2008»
15 years 4 months 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...
IJCNN
2006
IEEE
15 years 3 months ago
Reinforcement Learning for Platform-Independent Visual Robot Control
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
David Muse, Kevin Burn, Stefan Wermter
ROBOCUP
2005
Springer
164views Robotics» more  ROBOCUP 2005»
15 years 3 months ago
Laser-Based Localization with Sparse Landmarks
Abstract. Self-localization in dynamic environments is a central problem in mobile robotics and is well studied in the literature. One of the most popular methods is the Monte Carl...
Andreas Strack, Alexander Ferrein, Gerhard Lakemey...
IROS
2007
IEEE
240views Robotics» more  IROS 2007»
15 years 4 months ago
Biologically-inspired robotics vision monte-carlo localization in the outdoor environment
— We present a robot localization system using biologically-inspired vision. Our system models two extensively studied human visual capabilities: (1) extracting the “gist” of...
Christian Siagian, Laurent Itti
ROBOCUP
2000
Springer
146views Robotics» more  ROBOCUP 2000»
15 years 1 months ago
Observation Strategy for Decision Making Based on Information Criterion
Self localization seems necessary for mobile robot navigation. The conventional method such as geometric reconstruction from landmark observations is generally time-consuming and ...
Noriaki Mitsunaga, Minoru Asada