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Automated Tracking of Worker and Heavy Equipment on Tunnel Construction Sites: Deep-Learning Framework
Publisher: American Society of Civil Engineers
Abstract: AbstractTunnel construction environments pose significant challenges for real-time monitoring
due to narrow spaces, poor lighting, and high densities of personnel and machinery.
This paper proposes an enhanced deep-learning ...
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