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» Learning Landmarks for Robot Localization
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ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
15 years 3 months ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar
AAAI
2011
13 years 9 months ago
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
Brian Coltin, Manuela M. Veloso
ALGORITHMICA
2000
125views more  ALGORITHMICA 2000»
14 years 9 months ago
Mobile Robot Self-Localization without Explicit Landmarks
Localization is the process of determining the robot's location within its environment. More precisely, it is a procedure which takes as input a geometric map, a current estim...
R. G. Brown, Bruce Randall Donald
WAPCV
2007
Springer
15 years 3 months ago
Simultaneous Robot Localization and Mapping Based on a Visual Attention System
Visual attention regions are useful for many applications in the field of computer vision and robotics. Here, we introduce an application to simultaneous robot localization and ma...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
15 years 3 months ago
Visual SLAM with Line and Corner Features
Abstract— We propose a new vision-based SLAM (Simultaneous Localization and Mapping) technique using both line and corner features as landmarks in the scene. The proposed SLAM al...
Woo Yeon Jeong, Kyoung Mu Lee