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Robust parallel filtering for mobile agent tracking
conference contribution
posted on 2006-01-01, 00:00 authored by Adrian Bishop, Pubudu PathiranaPubudu PathiranaIn 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
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Event
International Conference on Control, Automation, Robotics, and Vision (9th : 2006 : Singapore)Pagination
539 - 545Publisher
IEEELocation
SingaporePlace of publication
Piscataway, N.J.Start date
2006-12-05End date
2006-12-08ISBN-13
9781424403424ISBN-10
1424403421Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2006 IEEETitle of proceedings
ICARCV 2006 9th International Conference on Control, Automation, Robotics and VisionUsage metrics
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