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» SLAM with Sparse Sensing
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ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
15 years 3 months ago
SLAM for ship hull inspection using exactly sparse extended information filters
Matthew Walter, Franz Hover, John J. Leonard
ICCV
2009
IEEE
16 years 2 months ago
Compact Signatures for High-Speed Interest Point Description and Matching
Prominent feature point descriptors such as SIFT and SURF allow reliable real-time matching but at a compu- tational cost that limits the number of points that can be handled on...
Michael Calonder, Vincent Lepetit, Pascal Fua, Kur...
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
15 years 2 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
15 years 4 months ago
Reduced state representation in delayed-state SLAM
— This paper introduces an approach that reduces the size of the state and maximizes the sparsity of the information matrix in exactly sparse delayed-state SLAM. We propose const...
Viorela Ila, Josep M. Porta, Juan Andrade-Cetto
CORR
2010
Springer
165views Education» more  CORR 2010»
14 years 9 months ago
Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations
We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algo...
Sushil Subramanian