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contributor authorKamari, Mirsalar
contributor authorHam, Youngjib
date accessioned2026-08-20T21:34:52Z
date available2026-08-20T21:34:52Z
date copyright2025/07/21
date issued2025
identifier otherJCEMD4.COENG-16355.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314685
description abstractAbstractThe construction industry has seen a surge in the use of vision-based methods to enhance project management by addressing quality control, progress monitoring, and safety risks. However, existing vision-based frameworks typically operate under a ...Practical ApplicationsThe construction industry increasingly utilizes camera-equipped devices, such as smartphones and drones, to capture extensive visual data, including images and videos, from jobsites. This data are analyzed using artificial ...
publisherAmerican Society of Civil Engineers
titleAdvancing 3D Object Detection and Segmentation in Construction Jobsites Using an Open Vocabulary Approach
typeJournal Article
journal volume151
journal issue10
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-16355
journal fristpage04025141-1
journal lastpage04025141-19
page19
treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 010
contenttypeFulltext


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