YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • 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

    CSADnet: Attention-Based Semantic Segmentation Method for Spraying Scene Images of Building Gables

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008::page 04025109-1
    Author:
    Ma, Junyan
    ,
    Zhao, Yunlong
    ,
    Zheng, Duan
    ,
    Liao, Xiaoping
    ,
    Lu, Juan
    DOI: 10.1061/JCEMD4.COENG-16421
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate and efficient detection of spray-painted regions and boundary delineations on building gables is crucial for promoting automated construction processes. External wall spraying robots rely on robust environmental perception. However, ...
    • Download: (2.407Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      CSADnet: Attention-Based Semantic Segmentation Method for Spraying Scene Images of Building Gables

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314693
    Collections
    • Journal of Construction Engineering and Management

    Show full item record

    contributor authorMa, Junyan
    contributor authorZhao, Yunlong
    contributor authorZheng, Duan
    contributor authorLiao, Xiaoping
    contributor authorLu, Juan
    date accessioned2026-08-20T21:35:13Z
    date available2026-08-20T21:35:13Z
    date copyright2025/06/09
    date issued2025
    identifier otherJCEMD4.COENG-16421.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314693
    description abstractAbstractAccurate and efficient detection of spray-painted regions and boundary delineations on building gables is crucial for promoting automated construction processes. External wall spraying robots rely on robust environmental perception. However, ...
    publisherAmerican Society of Civil Engineers
    titleCSADnet: Attention-Based Semantic Segmentation Method for Spraying Scene Images of Building Gables
    typeJournal Article
    journal volume151
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16421
    journal fristpage04025109-1
    journal lastpage04025109-14
    page14
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 008
    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