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Xiaochun Luo
Researcher at Hong Kong Polytechnic University
Publications - 45
Citations - 2202
Xiaochun Luo is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Construction site safety & Building information modeling. The author has an hindex of 19, co-authored 42 publications receiving 1188 citations.
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Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
TL;DR: The spatial characteristics of cracks are significant indicators to assess and evaluate the health of existing buildings and infrastructures as mentioned in this paper, however, the current manual crack description is inadequate and outdated.
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Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
TL;DR: In this paper, the authors proposed the use of a high precision, high recall and widely applicable Faster R-CNN method to detect construction workers' non-hardhat-use (NHU) detection.
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Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis
Hao Wang,Yisha Pan,Xiaochun Luo +2 more
TL;DR: A comprehensive review on BIM-GIS integration in sustainable built environments is given in order to analyse the status quo and practical applications from four viewpoints: technologies for data integration, applications in the life cycle of AEC projects, building energy management, and urban governance.
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Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks
TL;DR: This work states that timely and overall knowledge of the states and resource allocation of diverse activities on construction sites is critical to resource leveling, progress tracking, and productivity analysis in construction sites.
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Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment
TL;DR: An automated inspection method to check PPEs' usage by steeplejacks who are ready for aerial work beside exterior walls is proposed, which makes the inspection a preventative control measure and highly robust to noise.