Human Intrusion Detection in Static Hazardous Areas at Construction Sites: Deep Learning

Human Intrusion Detection in Static Hazardous Areas at Construction Sites: Deep Learning–Based Method

Published:2023-01 Issue:1 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Mei Xinyu¹,Zhou Xiaojing¹,Xu Feng²^ORCID,Zhang Zhipeng³

Affiliation:

1. Undergraduate Research Assistant, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai Jiao Tong Univ., 800 Dongchuan Rd., Shanghai 200240, PR China.

2. Associate Professor, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai Jiao Tong Univ., 800 Dongchuan Rd., Shanghai 200240, PR China (corresponding author). ORCID: .

3. Assistant Professor, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai Jiao Tong Univ., 800 Dongchuan Rd., Shanghai 200240, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0002409

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