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» Learning Landmarks for Robot Localization
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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
15 years 4 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
ICRA
2002
IEEE
116views Robotics» more  ICRA 2002»
15 years 2 months ago
Linear 2D Localization and Mapping for Single and Multiple Robot Scenarios
We show how to recover 2D structure and motion linearly in order to initialize Simultaneous Mapping and Localization (SLAM) for bearings-only measurements and planar motion. The m...
Frank Dellaert, Ashley W. Stroupe
ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
14 years 8 months ago
Visual landmark generation and redetection with a single feature per frame
— In this paper we show that visual landmark generation and redetection is possible with a single feature per frame. The approach is based on the assumption that highly discrimin...
Simone Frintrop, Armin B. Cremers
IJCAI
2003
14 years 11 months ago
DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks
We present a novel, laser range finder based algorithm for simultaneous localization and mapping (SLAM) for mobile robots. SLAM addresses the problem of constructing an accurate ...
Austin I. Eliazar, Ronald Parr