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» A Discussion of Simultaneous Localization and Mapping
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IROS
2007
IEEE
159views Robotics» more  IROS 2007»
14 years 1 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
FPL
2007
Springer
105views Hardware» more  FPL 2007»
14 years 1 months ago
A floating-point Extended Kalman Filter implementation for autonomous mobile robots
Localization and Mapping are two of the most important capabilities for autonomous mobile robots and have been receiving considerable attention from the scientific computing commu...
Vanderlei Bonato, Eduardo Marques, George A. Const...
COMPGEOM
1999
ACM
13 years 12 months ago
Crust and Anti-Crust: A One-Step Boundary and Skeleton Extraction Algorithm
We wish to extract the topology from scanned maps. In previous work [15] this was done by extracting a skeleton from the Voronoi diagram, but this required vertex labelling and wa...
Christopher M. Gold
CN
2004
121views more  CN 2004»
13 years 7 months ago
Probabilistic fault diagnosis in communication systems through incremental hypothesis updating
This paper presents a probabilistic event-driven fault localization technique, which uses a probabilistic symptomfault map as a fault propagation model. The technique isolates the...
Malgorzata Steinder, Adarshpal S. Sethi
AAAI
2012
11 years 10 months ago
Semi-Supervised Kernel Matching for Domain Adaptation
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
Min Xiao, Yuhong Guo