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ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
13 years 10 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
IJRR
2007
100views more  IJRR 2007»
13 years 4 months ago
Exactly Sparse Extended Information Filters for Feature-based SLAM
Recent research concerning the Gaussian canonical form for Simultaneous Localization and Mapping (SLAM) has given rise to a handful of algorithms that attempt to solve the SLAM sc...
Matthew Walter, Ryan Eustice, John J. Leonard
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
13 years 11 months ago
SLAM for ship hull inspection using exactly sparse extended information filters
Matthew Walter, Franz Hover, John J. Leonard
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
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
13 years 11 months ago
Exact state and covariance sub-matrix recovery for submap based sparse EIF SLAM algorithm
— This paper provides a novel state vector and covariance sub-matrix recovery algorithm for a recently developed submap based exactly sparse Extended Information Filter (EIF) SLA...
Shoudong Huang, Zhan Wang, Gamini Dissanayake