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» The vSLAM Algorithm for Robust Localization and Mapping
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ICRA
2005
IEEE
143views Robotics» more  ICRA 2005»
14 years 1 months ago
The vSLAM Algorithm for Robust Localization and Mapping
— This paper presents the Visual Simultaneous Localization and Mapping (vSLAMTM ) algorithm, a novel algorithm for simultaneous localization and mapping (SLAM). The algorithm is ...
Niklas Karlsson, Enrico Di Bernardo, James P. Ostr...
ETFA
2008
IEEE
14 years 1 months ago
3D-based monocular SLAM for mobile agents navigating in indoor environments
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...
Dejan Pangercic, Radu Bogdan Rusu, Michael Beetz
IJCAI
2003
13 years 8 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
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 6 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun
IJCAI
2003
13 years 8 months ago
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping proble...
Michael Montemerlo, Sebastian Thrun, Daphne Koller...