Participatory 3D scanning and modeling of cities and buildings using 5G mm-Wave smart phones

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dc.contributor.author Ajorloo, Hossein
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2019-04-30T15:27:11Z
dc.date.available 2019-04-30T15:27:11Z
dc.date.issued 2019-04
dc.identifier.citation Ajerloo, H. and Sreenan, C. J. (2019) 'Participatory 3D Scanning and Modeling of Cities and Buildings Using 5G mm-Wave Smart Phones', Wireless Days 2019 Conference, Manchester, UK, 24-26 April, Forthcoming. en
dc.identifier.startpage 1 en
dc.identifier.endpage 8 en
dc.identifier.uri http://hdl.handle.net/10468/7826
dc.description.abstract Millimeter-wave (mm-Wave) frequency bands are a key technology enabler for the ultra-high data rates of 5G cellular networks, and it is fully expected that 5G smart phones will be equipped with mm-Wave network interfaces. Interestingly, millimeter transmissions have utility beyond communication; previously they been used extensively for short-range radar detection and ranging. We envisage a future in which each person carries a smart phone equipped with mm-Wave which can opportunistically scan the adjacent environment and share the results in a participatory manner to allow accurate 3D models to be constructed and maintained. Applications for such lowcost modelling are numerous and include navigating smart cities and buildings, as well as accident prevention in factories. In this article we provide a brief review of mm-Wave, its detection properties, and the basics of 3D scanning and modeling. We introduce a system architecture to enable participatory scanning based on mm-Wave and show results from experiments to demonstrate its feasibility. A variety of research challenges must be solved in order to realize our vision, and we expound on these with a view to stimulating research on this compelling opportunity. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IEEE en
dc.relation.ispartof Wireless Days 2019 Conference (forthcoming proceedings)
dc.rights © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Millimeter-wave en
dc.subject Radar detection en
dc.subject 5G en
dc.subject Smart cities en
dc.subject Smart buildings en
dc.subject Participatory sensing. en
dc.title Participatory 3D scanning and modeling of cities and buildings using 5G mm-Wave smart phones en
dc.type Conference item en
dc.internal.authorcontactother Hossein Ajorloo, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: hossein.ajorloo@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-04-30T15:19:21Z
dc.description.version Accepted Version en
dc.internal.rssid 483476373
dc.contributor.funder Horizon 2020 en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked No !!CORA!!
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Manchester, UK en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.internal.IRISemailaddress hossein.ajorloo@ucc.ie en
dc.internal.bibliocheck Forthcoming. Find publication details. Update relation.URL, doi, citation, rights statement, add vol. issue, update page nos. en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en


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