DocumentCode
1162654
Title
Simultaneous localization and mapping (SLAM): part II
Author
Bailey, Tim ; Durrant-whyte, Hugh
Author_Institution
Australian Centre for Field Robotics, Sydney Univ., NSW
Volume
13
Issue
3
fYear
2006
Firstpage
108
Lastpage
117
Abstract
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained. The paper focuses on three key areas: computational complexity; data association; and environment representation
Keywords
Bayes methods; computational complexity; mobile robots; path planning; statistical distributions; computational complexity; data association; environment representation; mobile robot; probability distributions; recursive Bayesian formulation; simultaneous localization and mapping; vehicle pose; Bayesian methods; Computational complexity; Computational efficiency; Delay estimation; Mobile robots; Robotics and automation; Robustness; Simultaneous localization and mapping; Uncertainty; Vehicles;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/MRA.2006.1678144
Filename
1678144
Link To Document