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Consistency Analysis for Data Fusion: Determining When the Unknown Correlation Can Be Ignored

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dc.contributor.authorAmirsadri, Ashkan
dc.contributor.authorBishop, Adrian
dc.contributor.authorKim, Jonghyuk
dc.contributor.authorTrumpf, Jochen
dc.contributor.authorPetersson, Lars
dc.coverage.spatialNha Trang Vietnam
dc.date.accessioned2015-12-13T22:51:46Z
dc.date.createdNovember 25-28 2013
dc.date.issued2013
dc.date.updated2015-12-11T10:47:12Z
dc.description.abstractIn this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in whi
dc.identifier.isbn9781479905720
dc.identifier.urihttp://hdl.handle.net/1885/81246
dc.publisherIEEE
dc.relation.ispartofseries2nd International Conference on Control, Automation and Information Sciences, ICCAIS 2013
dc.source2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013
dc.titleConsistency Analysis for Data Fusion: Determining When the Unknown Correlation Can Be Ignored
dc.typeConference paper
local.bibliographicCitation.lastpage102
local.bibliographicCitation.startpage97
local.contributor.affiliationAmirsadri, Ashkan, College of Engineering and Computer Science, ANU
local.contributor.affiliationBishop, Adrian, College of Engineering and Computer Science, ANU
local.contributor.affiliationKim, Jonghyuk, College of Engineering and Computer Science, ANU
local.contributor.affiliationTrumpf, Jochen, College of Engineering and Computer Science, ANU
local.contributor.affiliationPetersson, Lars, College of Engineering and Computer Science, ANU
local.contributor.authoruidAmirsadri, Ashkan, u4423125
local.contributor.authoruidBishop, Adrian, u4884680
local.contributor.authoruidKim, Jonghyuk, u4259952
local.contributor.authoruidTrumpf, Jochen, u4056317
local.contributor.authoruidPetersson, Lars, u4048690
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB9583
local.identifier.doi10.1109/ICCAIS.2013.6720537
local.identifier.scopusID2-s2.0-84894192838
local.type.statusPublished Version

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