Intelligent Construction Activity Identification for All-Weather Site Monitoring Using 4D Millimeter-Wave Technology-Reference-Cited by-同舟云学术

Intelligent Construction Activity Identification for All-Weather Site Monitoring Using 4D Millimeter-Wave Technology

Published:2024-11 Issue:11 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Wang Jia¹^ORCID,Wang Guangbin²,Li Heng³^ORCID,Han Shuai⁴^ORCID,Zhang Jiawen⁵

Affiliation:

1. Ph.D. Candidate, School of Economics and Management, Tongji Univ., Shanghai 200092, China. ORCID:

2. Professor, School of Economics and Management, Tongji Univ., Shanghai 200092, China.

3. Chair Professor, Research Center Director for Construction Informatics, and Academic Discipline Leader of Information and Construction Technology, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hong Kong 999077, China. ORCID:

4. Research Assistant Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hong Kong 999077, China (corresponding author). ORCID: .

5. Ph.D. Candidate, State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin Univ., Tianjin 300350, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-14875

Reference66 articles.

1. A learning model for automated construction site monitoring using ambient sounds

2. Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar

3. A Convolutional Neural Network for Human Motion Recognition and Classification Using a Millimeter-Wave Doppler Radar

4. 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes

5. Traffic participants classification based on 3D radio detection and ranging point clouds