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ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
14 years 1 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 7 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»
14 years 2 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»
14 years 1 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»
14 years 2 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