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Conference Paper: Personalized walkability assessment for pedestrian paths: An as-built BIM approach using ubiquitous augmented reality (AR) smartphone and deep transfer learning

TitlePersonalized walkability assessment for pedestrian paths: An as-built BIM approach using ubiquitous augmented reality (AR) smartphone and deep transfer learning
Authors
Issue Date2018
Citation
The 23rd International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2018), Guiyang, China, 24-27 August 2018 How to Cite?
DescriptionOrganizers: The Chinese Research Institute of Construction Management (CRIOCM), and Guizhou Institute of Technology (GIT)
Persistent Identifierhttp://hdl.handle.net/10722/261217

 

DC FieldValueLanguage
dc.contributor.authorXue, F-
dc.contributor.authorChiaradia, AJF-
dc.contributor.authorWebster, CJ-
dc.contributor.authorLiu, D-
dc.contributor.authorXu, J-
dc.contributor.authorLu, W-
dc.date.accessioned2018-09-14T08:54:28Z-
dc.date.available2018-09-14T08:54:28Z-
dc.date.issued2018-
dc.identifier.citationThe 23rd International Symposium on Advancement of Construction Management and Real Estate (CRIOCM2018), Guiyang, China, 24-27 August 2018-
dc.identifier.urihttp://hdl.handle.net/10722/261217-
dc.descriptionOrganizers: The Chinese Research Institute of Construction Management (CRIOCM), and Guizhou Institute of Technology (GIT)-
dc.languageeng-
dc.relation.ispartofThe 23rd International Symposium on Advancement of Construction Management and Real Estate, CRIOCM2018-
dc.titlePersonalized walkability assessment for pedestrian paths: An as-built BIM approach using ubiquitous augmented reality (AR) smartphone and deep transfer learning-
dc.typeConference_Paper-
dc.identifier.emailXue, F: xuef@hku.hk-
dc.identifier.emailChiaradia, AJF: alainjfc@hku.hk-
dc.identifier.emailWebster, CJ: cwebster@hku.hk-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.authorityXue, F=rp02189-
dc.identifier.authorityChiaradia, AJF=rp02166-
dc.identifier.authorityWebster, CJ=rp01747-
dc.identifier.authorityLu, W=rp01362-
dc.identifier.hkuros290422-

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