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Robust parallel filtering for mobile agent tracking

Bishop, Adrian and Pathirana, Pubudu 2006, Robust parallel filtering for mobile agent tracking, in ICARCV 2006 9th International Conference on Control, Automation, Robotics and Vision, IEEE, Piscataway, N.J., pp. 539-545.

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Title Robust parallel filtering for mobile agent tracking
Author(s) Bishop, Adrian
Pathirana, Pubudu
Conference name International Conference on Control, Automation, Robotics, and Vision (9th : 2006 : Singapore)
Conference location Singapore
Conference dates December 5-8 2006
Title of proceedings ICARCV 2006 9th International Conference on Control, Automation, Robotics and Vision
Editor(s) [Unknown]
Publication date 2006
Conference series International Conference on Control, Automation, Robotics and Vision
Start page 539
End page 545
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) tracking
robust filtering
parallel filtering
Summary In this paper we develop a robust method of target/mobile agent tracking involving two independent estimators with separate measurement systems. The outputs of the two estimators are combined using simple trigonometry (post-estimation data fusion) and provide a robust and reliable tracking path. We demonstrate that through the use of recent advances in robust set-value state estimation, our robust parallel filter approach performs well even when the individual filters do not. Brief comparisons with common data fusion methods are conducted in order to demonstrate the advantages of our parallel (post-estimation fusion) approach
ISBN 1424403421
9781424403424
Language eng
Field of Research 100503 Computer Communications Networks
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30006036

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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