Yantao YU
于言滔
PhD in Smart Construction
The Hong Kong Polytechnic University, 2020

Assistant Professor
Department of Civil and Environmental Engineering



(852) 2358 7201
ceyantao@ust.hk
Room 3576
Personal Web

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Google Scholar
DOq4oH8AAAAJ

ORCID
0000-0003-0400-3068

ResearcherID
S-6035-2018

Scopus ID
57192163569




Research Interest Publications




Research Interest

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Construction informatics and automation
Construction engineering
Occupational safety and health



Publications

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All Years 17 2022 0 2021 2 2020 1 2019 4 2018 7 2017 3

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2021 2

Posture-related data collection methods for construction workers: A review
Automation in Construction, v. 124, April 2021, article number 103538
Yu, Yantao; Umer, Waleed; Yang, Xincong; Antwi-Afari, Maxwell Fordjour Article
Three-Dimensional Working Pose Estimation in Industrial Scenarios with Monocular Camera
IEEE Internet of Things Journal, v. 8, (3), February 2021, p. 1740-1748
Yu, Yantao; Li, Heng; Cao, Jiannong; Luo, Xiaochun Article

2020 1

Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System
Journal of Construction Engineering and Management, v. 146, (7), July 2020, article number 04020077
Antwi-Afari, Maxwell Fordjour; Li, Heng; Umer, Waleed; Yu, Yantao; Xing, Xuejiao Article

2019 4

An automatic and non-invasive physical fatigue assessment method for construction workers
Automation in Construction, v. 103, July 2019, p. 1-12
Yu, Yantao; Li, Heng; Yang, Xincong; Kong, Liulin; Luo, Xiaochun; Wong, Arnold Y.L. Article
Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles
Journal of Computing in Civil Engineering, v. 33, (3), May 2019, article number 04019010
Yu, Yantao; Li, Heng; Umer, Waleed; Dong, Chao; Yang, Xincong; Skitmore, Martin; Wong, Arnold Y.L. Article
Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
Computer-Aided Civil and Infrastructure Engineering, v. 34, (4), April 2019, p. 333-351
Luo, Xiaochun; Li, Heng; Yang, Xincong; Yu, Yantao; Cao, Dongping Article
Joint-level vision-based ergonomic assessment tool for construction workers
Journal of Construction Engineering and Management, v. 145, (5), May 2019, article number 04019025
Yu, Yantao; Yang, Xincong; Li, Heng; Luo, Xiaochun; Guo, Hongling; Fang, Qi Article

2018 7

A deep learning-based method for detecting non-certified work on construction sites
Advanced Engineering Informatics, v. 35, January 2018, p. 56-68
Fang, Qi; Li, Heng; Luo, Xiaochun; Ding, Lieyun; Rose, Timothy M.; An, Wangpeng; Yu, Yantao Article
Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
Computer-Aided Civil and Infrastructure Engineering, v. 33, (12), December 2018, p. 1090-1109
Yang, Xincong; Li, Heng; Yu, Yantao; Luo, Xiaochun; Huang, Ting; Yang, Xu Article
Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers' Unsafe Behaviors
Journal of Construction Engineering and Management, v. 144, (6), June 2018, article number 04018042
Guo, Hongling; Yu, Yantao; Ding, Qinghua; Skitmore, Martin Article
Quantifying the physical intensity of construction workers, a mechanical energy approach
Advanced Engineering Informatics, v. 38, October 2018, p. 404-419
Kong, Liulin; Li, Heng; Yu, Yantao; Luo, Hanbin; Skitmore, Martin; Antwi-Afari, Maxwell Fordjour Article
Towards efficient and objective work sampling: Recognizing workers’ activities in site surveillance videos with two-stream convolutional networks
Automation in Construction, v. 94, October 2018, p. 360-370
Luo, Xiaochun; Li, Heng; Cao, Dongping; Yu, Yantao; Yang, Xincong; Huang, Ting Article
Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers
Automation in Construction, v. 96, December 2018, p. 433-441
Antwi-Afari, Maxwell Fordjour; Li, Heng; Yu, Yantao; Kong, Liulin Article
Estimating construction workers’ physical workload by fusing computer vision and smart insole technologies
2018 Proceedings of the 35th ISARC, Berlin, Germany, August 2018, p. 1212-1219
Yu, Yantao; Li, Heng; Yang, Xincong; Umer, Waleed Conference paper

2017 3

An experimental study of real-time identification of construction workers' unsafe behaviors
Automation in Construction, v. 82, October 2017, p. 193-206
Yu, Yantao; Guo, Hongling; Ding, Qinghua; Li, Heng; Skitmore, Martin Article
The availability of wearable-device-based physical data for the measurement of construction workers' psychological status on site: From the perspective of safety management
Automation in Construction, v. 82, October 2017, p. 207-217
Guo, Hongling; Yu, Yantao; Xiang, Tian; Li, Heng; Zhang, Dan Article
Visualization technology-based construction safety management: A review
Automation in Construction, v. 73, January 2017, p. 135-144
Guo, Hongling; Yu, Yantao; Skitmore, Martin Article


Expand All Collapse All


Article 2

Posture-related data collection methods for construction workers: A review
Automation in Construction, v. 124, April 2021, article number 103538
Yu, Yantao; Umer, Waleed; Yang, Xincong; Antwi-Afari, Maxwell Fordjour
Three-Dimensional Working Pose Estimation in Industrial Scenarios with Monocular Camera
IEEE Internet of Things Journal, v. 8, (3), February 2021, p. 1740-1748
Yu, Yantao; Li, Heng; Cao, Jiannong; Luo, Xiaochun


Expand All Collapse All


Article 1

Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System
Journal of Construction Engineering and Management, v. 146, (7), July 2020, article number 04020077
Antwi-Afari, Maxwell Fordjour; Li, Heng; Umer, Waleed; Yu, Yantao; Xing, Xuejiao


Expand All Collapse All


Article 4

An automatic and non-invasive physical fatigue assessment method for construction workers
Automation in Construction, v. 103, July 2019, p. 1-12
Yu, Yantao; Li, Heng; Yang, Xincong; Kong, Liulin; Luo, Xiaochun; Wong, Arnold Y.L.
Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles
Journal of Computing in Civil Engineering, v. 33, (3), May 2019, article number 04019010
Yu, Yantao; Li, Heng; Umer, Waleed; Dong, Chao; Yang, Xincong; Skitmore, Martin; Wong, Arnold Y.L.
Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
Computer-Aided Civil and Infrastructure Engineering, v. 34, (4), April 2019, p. 333-351
Luo, Xiaochun; Li, Heng; Yang, Xincong; Yu, Yantao; Cao, Dongping
Joint-level vision-based ergonomic assessment tool for construction workers
Journal of Construction Engineering and Management, v. 145, (5), May 2019, article number 04019025
Yu, Yantao; Yang, Xincong; Li, Heng; Luo, Xiaochun; Guo, Hongling; Fang, Qi


Expand All Collapse All


Article 6

A deep learning-based method for detecting non-certified work on construction sites
Advanced Engineering Informatics, v. 35, January 2018, p. 56-68
Fang, Qi; Li, Heng; Luo, Xiaochun; Ding, Lieyun; Rose, Timothy M.; An, Wangpeng; Yu, Yantao
Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
Computer-Aided Civil and Infrastructure Engineering, v. 33, (12), December 2018, p. 1090-1109
Yang, Xincong; Li, Heng; Yu, Yantao; Luo, Xiaochun; Huang, Ting; Yang, Xu
Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers' Unsafe Behaviors
Journal of Construction Engineering and Management, v. 144, (6), June 2018, article number 04018042
Guo, Hongling; Yu, Yantao; Ding, Qinghua; Skitmore, Martin
Quantifying the physical intensity of construction workers, a mechanical energy approach
Advanced Engineering Informatics, v. 38, October 2018, p. 404-419
Kong, Liulin; Li, Heng; Yu, Yantao; Luo, Hanbin; Skitmore, Martin; Antwi-Afari, Maxwell Fordjour
Towards efficient and objective work sampling: Recognizing workers’ activities in site surveillance videos with two-stream convolutional networks
Automation in Construction, v. 94, October 2018, p. 360-370
Luo, Xiaochun; Li, Heng; Cao, Dongping; Yu, Yantao; Yang, Xincong; Huang, Ting
Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers
Automation in Construction, v. 96, December 2018, p. 433-441
Antwi-Afari, Maxwell Fordjour; Li, Heng; Yu, Yantao; Kong, Liulin

Conference paper 1

Estimating construction workers’ physical workload by fusing computer vision and smart insole technologies
2018 Proceedings of the 35th ISARC, Berlin, Germany, August 2018, p. 1212-1219
Yu, Yantao; Li, Heng; Yang, Xincong; Umer, Waleed


Expand All Collapse All


Article 3

An experimental study of real-time identification of construction workers' unsafe behaviors
Automation in Construction, v. 82, October 2017, p. 193-206
Yu, Yantao; Guo, Hongling; Ding, Qinghua; Li, Heng; Skitmore, Martin
The availability of wearable-device-based physical data for the measurement of construction workers' psychological status on site: From the perspective of safety management
Automation in Construction, v. 82, October 2017, p. 207-217
Guo, Hongling; Yu, Yantao; Xiang, Tian; Li, Heng; Zhang, Dan
Visualization technology-based construction safety management: A review
Automation in Construction, v. 73, January 2017, p. 135-144
Guo, Hongling; Yu, Yantao; Skitmore, Martin


No Publications









ProjectsFrom January 2020 to December 2022

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