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contributor authorZhiQiang Chen
contributor authorJianfei Chen
contributor authorFeichen Shen
contributor authorYugyung Lee
date accessioned2017-05-08T21:41:13Z
date available2017-05-08T21:41:13Z
date copyrightSeptember 2015
date issued2015
identifier other%28asce%29cr%2E1943-5495%2E0000017.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/59354
description abstractOptical imaging techniques have been commonly used in civil engineering practice for aiding the archival of damage scenes and more recently, for image-based damage analysis. However, an evident limitation in the current practice is the lacking of real-time imaging, computing, and analytics capability for team-based visual inspection in a complex built environment. This paper explores a new computing paradigm called collaborative mobile-cloud computing (CMCC) and proposes a CMCC framework for conducting intelligent civil infrastructure condition inspection. Through software design, this framework synthesizes advanced mobile and cloud computing technologies with three innovative features: (1) context-enabled image collection, (2) interactive imaging and processing, and (3) real-time on-demand image analysis and condition analytics. Through field experiments and computational performance evaluation, this paper demonstrates the feasibility of the proposed CMCC framework, which includes verification of real-time imaging, analytics, and particularly, the mobile-cloud computational solution to two representative damage analysis problems regarding complex imagery scenes.
publisherAmerican Society of Civil Engineers
titleCollaborative Mobile-Cloud Computing for Civil Infrastructure Condition Inspection
typeJournal Paper
journal volume29
journal issue5
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000377
treeJournal of Computing in Civil Engineering:;2015:;Volume ( 029 ):;issue: 005
contenttypeFulltext


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