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dc.contributor.authorEl-Fallah, A.
dc.contributor.authorZatezalo, A.
dc.contributor.authorMahler, Ronald
dc.contributor.authorMehra, R.
dc.identifier.citationEl-Fallah, A. and Zatezalo, A. and Mahler, R. and Mehra, R. 2012. Multi-vehicle decentralized fusion and tracking.

In this paper, we introduce a decentralized fusion and tracking based on a distributed multi-source multitarget filtering and robust communication with the following features: (i) data reduction; (ii) a disruption tolerant dissemination procedure that takes advantage of storage and mobility; and (iii) efficient data set reconciliation algorithms. We developed and implemented complex high-fidelity marine application demonstration of this approach that encompasses all relevant environmental parameters. In the simulated example, multi-source information is fused by exploiting sensors from disparate Unmanned Underwater Vehicles (UUV) and Unmanned Surface Vehicle (USV) multi-sensor platforms. Communications among the platforms are continuously establishing and breaking depending on the time-changing geometry. We compare and evaluate the developed algorithms by assessing their performance against different scenarios. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

dc.titleMulti-vehicle decentralized fusion and tracking
dc.typeConference Paper
dcterms.source.titleProceedings of SPIE - The International Society for Optical Engineering
dcterms.source.seriesProceedings of SPIE - The International Society for Optical Engineering
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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