Sciweavers

3 search results - page 1 / 1
» Reduced state representation in delayed-state SLAM
Sort
View
123
Voted
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
15 years 9 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
114
Voted
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
15 years 10 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
126
Voted
RSS
2007
129views Robotics» more  RSS 2007»
15 years 5 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