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IROS
2006
IEEE
162views Robotics» more  IROS 2006»
14 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
ICRA
2009
IEEE
162views Robotics» more  ICRA 2009»
14 years 2 months ago
SLAM in large indoor environments with low-cost, noisy, and sparse sonars
— Simultaneous localization and mapping (SLAM) is a well-studied problem in mobile robotics. However, the majority of the proposed techniques for SLAM rely on the use of accurate...
Teddy N. Yap Jr., Christian R. Shelton
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
14 years 1 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
IROS
2006
IEEE
128views Robotics» more  IROS 2006»
14 years 1 months ago
Improving Data Association in Vision-based SLAM
— This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and app...
Arturo Gil, Óscar Reinoso, Óscar Mar...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
14 years 1 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