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IJRR
2007
100views more  IJRR 2007»
13 years 6 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
DOCENG
2004
ACM
13 years 11 months ago
Creation of topic map by identifying topic chain in chinese
XML Topic maps enable multiple, concurrent views of sets of information objects and can be used to different applications. For example, thesaurus-like interfaces to corpora, navig...
Ching-Long Yeh, Yi-Chun Chen
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
14 years 16 days ago
Power-SLAM: A linear-complexity, consistent algorithm for SLAM
— In this paper, we present an Extended Kalman Filter (EKF)-based estimator for simultaneous localization and mapping (SLAM) with processing requirements that are linear in the n...
Esha D. Nerurkar, Stergios I. Roumeliotis
TROB
2008
86views more  TROB 2008»
13 years 6 months ago
Fusing Monocular Information in Multicamera SLAM
Abstract--This paper explores the possibilities of using monocular simultaneous localization and mapping (SLAM) algorithms in systems with more than one camera. The idea is to comb...
Joan Solà, André Monin, Michel Devy,...
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
13 years 11 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