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» Reduced state representation in delayed-state SLAM
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ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
13 years 10 months ago
Exactly Sparse Delayed-State Filters
— This paper presents the novel insight that the SLAM information matrix is exactly sparse in a delayedstate framework. Such a framework is used in view-based representations of ...
Ryan Eustice, Hanumant Singh, John J. Leonard
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
13 years 11 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
RSS
2007
129views Robotics» more  RSS 2007»
13 years 6 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller