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RISLeveraging Semisupervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection
Publisher: American Society of Civil Engineers
Abstract: The advancement of deep learning has led to a growing demand and increase in research on computer vision–based construction site monitoring for improved safety and operational efficiency. These methods largely depend on ...
Three-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data
Publisher: American Society of Civil Engineers
Abstract: Traffic volume data collection is a crucial aspect of transportation engineering and urban planning because it provides vital insights into traffic patterns, congestion, and infrastructure efficiency. Traditional manual ...
Leveraging Semisupervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection
Publisher: American Society of Civil Engineers
Abstract: The advancement of deep learning has led to a growing demand and increase in research on computer vision–based construction site monitoring for improved safety and operational efficiency. These methods largely depend on ...
Three-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data
Publisher: American Society of Civil Engineers
Abstract: Traffic volume data collection is a crucial aspect of transportation engineering and urban planning because it provides vital insights into traffic patterns, congestion, and infrastructure efficiency. Traditional manual ...