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    Automated As-built Information Modelling for Construction Monitoring with Vision Data in Liquefied Natural Gas (LNG) Plants

    Chai J 2017.pdf (5.674Mb)
    Access Status
    Open access
    Authors
    Chai, Jian
    Date
    2017
    Supervisor
    Prof. Xiangyu Wang
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Humanities
    School
    School of Built Environment
    Australasian Joint Research Centre for Building Information Modelling
    URI
    http://hdl.handle.net/20.500.11937/65984
    Collection
    • Curtin Theses
    Abstract

    This research aims to develop automated methods of retrieve as-built information from vision data in LNG plants and to use the developed methods to improve the productivity in the LNG industry. This research investigates class-level and further object-level interpretation of point cloud objects in LNG plants. By developing scaffolding detection methods, this research also contributes novel scaffolding construction monitoring methods using intrinsically safe cameras.

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