Spatial anchor based indoor asset tracking

dc.contributor.authorHe, Wennan
dc.contributor.authorXi, Mingze
dc.contributor.authorGardner, Henry
dc.contributor.authorSwift, Ben
dc.contributor.authorAdcock, Matt
dc.coverage.spatialLisboa, Portugal
dc.date.accessioned2024-01-28T23:39:39Z
dc.date.created27 March-1 April 2021
dc.date.issued2021
dc.date.updated2022-10-02T07:18:02Z
dc.description.abstractIndoor asset tracking is an essential task in many areas of industry such as shipping and warehousing. Widely-used asset tracking technologies typically require supporting infrastructure (signal transponders) to communicate with active tags on the assets. Continuous asset tracking in large indoor spaces like warehouses can be costly, and reliable reference points are needed to calculate asset positions accurately. In this paper, we describe an indoor asset tracking technique for augmented reality (AR) that combines the use of (passive) fiducial markers together with flexible spatial anchors. Our approach, called SABIAT, continuously tracks the approximate location of an asset using spatial anchors and, when needed, the precise location of that asset using fiducial markers. We have applied our SABIAT technique to build a demonstrator system, AR-IPS, to show how assets can be tracked and located inside of a large, multi-level building.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-6654-1838-6en_AU
dc.identifier.issn2642-5246en_AU
dc.identifier.urihttp://hdl.handle.net/1885/311874
dc.language.isoen_AUen_AU
dc.publisherIEEEen_AU
dc.relation.ispartofseries2021 IEEE Conference on Virtual Reality and 3D User Interfacesen_AU
dc.rights© 2021 IEEEen_AU
dc.source2021 IEEE Virtual Reality and 3D User Interfaces (VR)en_AU
dc.subjectHuman-centered computingen_AU
dc.subjectMixed / augmented realityen_AU
dc.subjectInformation systemsen_AU
dc.subjectLocation based servicesen_AU
dc.titleSpatial anchor based indoor asset trackingen_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage259en_AU
local.bibliographicCitation.startpage255en_AU
local.contributor.affiliationHe, Wennan, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationXi, Mingze, CSIROen_AU
local.contributor.affiliationGardner, Henry, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationSwift, Ben, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationAdcock, Matt, CSIRO ICT Centreen_AU
local.contributor.authoruidHe, Wennan, u5833304en_AU
local.contributor.authoruidGardner, Henry, u8914398en_AU
local.contributor.authoruidSwift, Ben, u2548636en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor460708 - Virtual and mixed realityen_AU
local.identifier.ariespublicationa383154xPUB19614en_AU
local.identifier.doi10.1109/VR50410.2021.00047en_AU
local.identifier.essn2642-5254en_AU
local.identifier.scopusID2-s2.0-85106453795
local.identifier.thomsonIDWOS:000675593600028
local.publisher.urlhttps://ieeexplore.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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