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Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset
Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset
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Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset

Wu, Jixiu ; Cai, Nian ; Chen, Wenjie ; Wang, Huiheng ; Wang, Guotian

Automation in construction, 2019-10, Vol.106, p.102894, Article 102894 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Image-based construction hazard avoidance system using augmented reality in wearable device
Image-based construction hazard avoidance system using augmented reality in wearable device
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Image-based construction hazard avoidance system using augmented reality in wearable device

Kim, Kinam ; Kim, Hongjo ; Kim, Hyoungkwan

Automation in construction, 2017-11, Vol.83, p.390-403 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Construction Matters: Comparing Environmental Impacts of Building Modular and Conventional Homes in the United States
Construction Matters: Comparing Environmental Impacts of Building Modular and Conventional Homes in the United States
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Construction Matters: Comparing Environmental Impacts of Building Modular and Conventional Homes in the United States

Quale, John ; Eckelman, Matthew J. ; Williams, Kyle W. ; Sloditskie, Greg ; Zimmerman, Julie B.

Journal of industrial ecology, 2012-04, Vol.16 (2), p.243-253 [Periódico revisado por pares]

Malden, USA: Blackwell Publishing Inc

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Voxel-based segmentation of 3D point clouds from construction sites using a probabilistic connectivity model
Voxel-based segmentation of 3D point clouds from construction sites using a probabilistic connectivity model
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Voxel-based segmentation of 3D point clouds from construction sites using a probabilistic connectivity model

Xu, Yusheng ; Tuttas, Sebastian ; Hoegner, Ludwig ; Stilla, Uwe

Pattern recognition letters, 2018-01, Vol.102, p.67-74 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
EXAMPLE OF AN ONLINE CONSTRUCTION SITE TOUR ADAPTED TO THE COVID-19 PANDEMIC
EXAMPLE OF AN ONLINE CONSTRUCTION SITE TOUR ADAPTED TO THE COVID-19 PANDEMIC
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EXAMPLE OF AN ONLINE CONSTRUCTION SITE TOUR ADAPTED TO THE COVID-19 PANDEMIC

NISHIWAKI, Tomoya ; SHIMIZU, Koshi ; MIURA, Daiki ; MIYATA, Yoshihiro ; HARA, Shoumi

AIJ Journal of Technology and Design, 2021/10/20, Vol.27(67), pp.1574-1577 [Periódico revisado por pares]

Tokyo: Architectural Institute of Japan

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ANALYSIS OF INDUSTRIAL ACCIDENTS AT CONSTRUCTION SITE BY TEXT MINING
ANALYSIS OF INDUSTRIAL ACCIDENTS AT CONSTRUCTION SITE BY TEXT MINING
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ANALYSIS OF INDUSTRIAL ACCIDENTS AT CONSTRUCTION SITE BY TEXT MINING

SAITO, Hiroaki ; TSUZUKI, Ayane

AIJ Journal of Technology and Design, 2022/10/20, Vol.28(70), pp.1506-1511 [Periódico revisado por pares]

Tokyo: Architectural Institute of Japan

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Improvement of inspection system for reduction of small-scale construction site accident in Korea
Improvement of inspection system for reduction of small-scale construction site accident in Korea
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Improvement of inspection system for reduction of small-scale construction site accident in Korea

LIM, Sejong ; OH, Ah-ra ; WON, Jeong-hun ; CHON, Jae-joon

Industrial Health, 2018, Vol.56(6), pp.466-474 [Periódico revisado por pares]

Kawasaki: National Institute of Occupational Safety and Health

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An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution
An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution
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An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution

Xiang, Yusheng ; Liu, Kailun ; Su, Tianqing ; Li, Jun ; Ouyang, Shirui ; Mao, Samuel S. ; Geimer, Marcus

IEEE access, 2021, Vol.9, p.124583-124599 [Periódico revisado por pares]

Piscataway: IEEE

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Towards a semantic Construction Digital Twin: Directions for future research
Towards a semantic Construction Digital Twin: Directions for future research
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Towards a semantic Construction Digital Twin: Directions for future research

Boje, Calin ; Guerriero, Annie ; Kubicki, Sylvain ; Rezgui, Yacine

Automation in construction, 2020-06, Vol.114, p.103179, Article 103179 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
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Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

Fang, Qi ; Li, Heng ; Luo, Xiaochun ; Ding, Lieyun ; Luo, Hanbin ; Rose, Timothy M. ; An, Wangpeng

Automation in construction, 2018-01, Vol.85, p.1-9 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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