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contributor authorMani Golparvar-Fard
contributor authorFeniosky Peña-Mora
contributor authorSilvio Savarese
date accessioned2017-05-08T21:39:27Z
date available2017-05-08T21:39:27Z
date copyrightDecember 2011
date issued2011
identifier other%28asce%29co%2E1943-7862%2E0000378.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58530
description abstractThe significant advancement in digital imaging and widespread popularity of digital cameras for capturing a comprehensive visual record of construction performance in the architecture, engineering, construction, and facility management (AEC/FM) industries have triggered an extensive growth in the rate of site photography, allowing hundreds of images to be stored for a project on a daily basis. Meanwhile, collaborative AEC technologies centering around building information models (BIMs) are becoming widely applied to support various architectural, structural, and preconstruction decision-making tasks. These models, if integrated with the as-built perspective of a construction, have great potential to extensively add value during the construction phase of a project. This paper reports recent developments from research efforts in (1) automated acquisition of as-built point-cloud models from unordered daily site photo collections and geo-registration of site images, (2) automated generation of four-dimensional (4D) as-built point-cloud models, and (3) semiautomated superimposition of the integrated as-built model over 4D (three dimensions plus time) BIMs to generate integrated 4D as-built and as-planned visualizations. The limitations and benefits of each modeling approach, the motivations for development of 4D augmented-reality (
publisherAmerican Society of Civil Engineers
titleIntegrated Sequential As-Built and As-Planned Representation with D4AR Tools in Support of Decision-Making Tasks in the AEC/FM Industry
typeJournal Paper
journal volume137
journal issue12
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0000371
treeJournal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 012
contenttypeFulltext


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