YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

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

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025130-1
    Author:
    Zhang, Ziheng
    ,
    Mondal, Tarutal Ghosh
    ,
    Yang, Xiaofei
    ,
    Fu, Yuguang
    DOI: 10.1061/JCCEE5.CPENG-6727
    Publisher: American Society of Civil Engineers
    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 ...
    • Download: (4.542Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

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

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314423
    Collections
    • Journal of Computing in Civil Engineering

    Show full item record

    contributor authorZhang, Ziheng
    contributor authorMondal, Tarutal Ghosh
    contributor authorYang, Xiaofei
    contributor authorFu, Yuguang
    date accessioned2026-08-20T21:25:17Z
    date available2026-08-20T21:25:17Z
    date copyright2025/10/16
    date issued2026
    identifier otherJCCEE5.CPENG-6727.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314423
    description abstractAbstractGeometric 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 ...
    publisherAmerican Society of Civil Engineers
    titleAutomated Noncontact Geometric Quality Assessment of Building Elements Integrating Mixed Reality, Depth Sensing, and Vision Foundation Model
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6727
    journal fristpage04025130-1
    journal lastpage04025130-20
    page20
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian