Smart Safety: Big Data–Enabled System for Analysis and Management of Unsafe Behavior by Construction Workers-Reference-Cited by-同舟云学术

Smart Safety: Big Data–Enabled System for Analysis and Management of Unsafe Behavior by Construction Workers

Published:2024-01 Issue:1 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Fang Qi¹^ORCID,Castro-Lacouture Daniel²^ORCID,Li Chengqian³

Affiliation:

1. Assistant Professor, School of Civil Engineering, Central South Univ., Changsha 410004, China. ORCID: .

2. Professor, Purdue Polytechnic Institute, Purdue Univ., West Lafayette, IN 47907 (corresponding author). ORCID: .

3. Assistant Professor, School of Civil Engineering, Hunan Univ., Changsha 410082, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5498

Reference48 articles.

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4. Broström. 2022. “Real-time multi-object tracker using YOLOv5 and deep sort with OSNet.” Accessed November 27 2022. https://github.com/mikel-brostrom/Yolov5_DeepSort_OSNet.

5. Bügler M. G. Ogunmakin J. Teizer P. A. Vela and A. Borrmann. 2014. “A comprehensive methodology for vision-based progress and activity estimation of excavation processes for productivity assessment.” In Proc. EG-ICE Workshop on Intelligent Computing in Engineering. Munich Germany: European Group For Intelligent Computing in Engineering. https://doi.org/10.13140/RG.2.1.4630.2561.

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