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» Learning Landmarks for Robot Localization
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ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
15 years 3 months ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun
ICML
2007
IEEE
15 years 10 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
15 years 2 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...

Publication
364views
15 years 4 months ago
CV-SLAM: A new ceiling vision-based SLAM technique
We propose a fast and robust CV-SLAM (Ceiling Vision –based Simultaneous Localization and Mapping) technique using a single ceiling vision sensor. The proposed algorithm is suita...
Woo Yeon Jeong (Seoul National University), Kyoung...
IROS
2006
IEEE
83views Robotics» more  IROS 2006»
15 years 3 months ago
Using Orthogonal Surface Directions for Autonomous 3D-Exploration of Indoor Environments
— This paper proposes a new tracking algorithm within a 3D-SLAM framework that takes segmented range images as observations. The framework has two layers: the local layer tracks ...
Peter Kohlhepp, Georg Bretthauer, Marcus Walther, ...