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contributor authorZade, Farzad Azizi
contributor authorEbrahimkhanlou, Arvin
date accessioned2026-08-20T21:26:41Z
date available2026-08-20T21:26:41Z
date copyright2025/11/27
date issued2026
identifier otherJCCEE5.CPENG-7001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314462
description abstractAbstractThis paper introduces a novel framework that combines vision-language models (VLMs) and localization techniques to detect, classify, and localize visual structural defects using moving platforms such as robots and handheld devices, with an ...
publisherAmerican Society of Civil Engineers
titleVision-Language Artificial Intelligence for Robotic-Based Monitoring: Concrete Defect Detection, Classification, and Localization in Two-Dimensional Maps
typeJournal Article
journal volume40
journal issue2
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7001
journal fristpage04025157-1
journal lastpage04025157-20
page20
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
contenttypeFulltext


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