Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model

dc.contributor.author	Zhang, Ziheng
dc.contributor.author	Mondal, Tarutal Ghosh
dc.contributor.author	Yang, Xiaofei
dc.contributor.author	Fu, Yuguang
dc.date.accessioned	2026-08-20T21:25:17Z
dc.date.available	2026-08-20T21:25:17Z
dc.date.copyright	2025/10/16
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-6727.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314423
dc.description.abstract	AbstractGeometric quality assessment (QA) in construction requires precise dimensional validation to ensure structural safety and compliance. While mixed reality (MR) technology promises enhanced inspection capabilities, current methods face fundamental ...Practical ApplicationThis research advances construction quality inspection by developing an MR-based measurement system that addresses key challenges in current practices. Using the MR device (Microsoft HoloLens 2 in this study), inspectors can now ...
dc.publisher	American Society of Civil Engineers
dc.title	Automated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	1
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-6727
dc.journal.fristpage	04025130-1
dc.journal.lastpage	04025130-20
dc.page	20
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttype	Fulltext