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» SLAM with Sparse Sensing
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ICRA
2005
IEEE
114views Robotics» more  ICRA 2005»
14 years 18 days ago
A Proof for the Approximate Sparsity of SLAM Information Matrices
— For the Simultaneous Localization and Mapping problem several efficient algorithms have been proposed that make use of a sparse information matrix representation (e.g. SEIF, T...
Udo Frese
ICRA
2006
IEEE
115views Robotics» more  ICRA 2006»
14 years 1 months ago
Mapping Large Scale Environments using Relative Position Information among Landmarks
— The main contribution of this paper is a new SLAM algorithm for the mapping of large scale environments by combining local maps. The local maps can be generated by traditional ...
Shoudong Huang, Zhan Wang, Gamini Dissanayake
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
123views Robotics» more  ICRA 2008»
14 years 1 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
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
14 years 8 days ago
Results for outdoor-SLAM using sparse extended information filters
Abstract — In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to han...
Yufeng Liu, Sebastian Thrun