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Sensor fusion based missile guidance
conference contributionposted on 2003-01-01, 00:00 authored by Pubudu PathiranaPubudu Pathirana, A Savkin
In this paper we improve the guidance system performance via sensor fusion techniques. Vision based guidance systems can be improved in performance via radar tacking or employing video tracking by unmanned jying vehicles. We also introduce an image texture gradient based image segmentation technique to identify the target in a typical surface-to-air type application with the proposed Robust Extended Kalman Filter based state estimation technique for the implementation of the Proportional Navigation guidance controlleller.
Title of proceedingsProceedings of the Sixth International Conference on Information Fusion
EventInternational Conference on Information Fusion (6th : 2003 : Cairns, Qld.)
Pagination253 - 260
PublisherDept. of Electrical and Electronic Engineering, University of Melbourne
LocationCairns, Queensland, Australia
Place of publicationMelbourne, Vic.
Publication classificationE1 Full written paper - refereed
Copyright notice2003, ISIF
CategoriesNo categories selected