DocumentCode
1081630
Title
A Bayesian Approach to Sensor Fusion in Autonomous Sensor and Robot Networks
Author
Lima, Pedro U.
Volume
10
Issue
3
fYear
2007
fDate
6/1/2007 12:00:00 AM
Firstpage
22
Lastpage
27
Abstract
This article describes some of the current challenges in autonomous sensor and robot networks, with special focus on issues concerning the fusion of information from several sensors to improve the accuracy in the cooperative localization of objects or to help the wide-sense networked sensors to self-localize. Although many other approaches exist, the focus is on Bayesian approaches to sensor fusion and state estimation.
Keywords
Bayes methods; mobile robots; sensor fusion; state estimation; Bayesian approach; autonomous sensor network; cooperative object localization; information fusion; robot network; sensor fusion; state estimation; wide-sense networked sensors; Bayesian methods; Cameras; Intelligent robots; Intelligent sensors; Robot sensing systems; Robot vision systems; Sensor fusion; Sensor phenomena and characterization; Temperature sensors; Uncertainty;
fLanguage
English
Journal_Title
Instrumentation & Measurement Magazine, IEEE
Publisher
ieee
ISSN
1094-6969
Type
jour
DOI
10.1109/MIM.2007.4284253
Filename
4284253
Link To Document