This project addressed the following: 1) a lack of a system to process raw traffic footage obtained from work zones to extract traffic and driver behavior information, especially systems that leverage … [Read more...] about Quantitatively Evaluate Work Zone Driver Behavior Using 2D Imaging, 3D LiDAR, and Artificial Intelligence in Support of Congestion Mitigation Model Calibration and Validation
Machine Learning
Safety Helmet Detection System of Smart Construction Site Based on YOLOv5S
Because of the high risk of construction work, the safety of construction personnel have been widely paid attention from all walks of life. Some construction personnel does not obey the rules and … [Read more...] about Safety Helmet Detection System of Smart Construction Site Based on YOLOv5S
Hand Signal Recognition of Workers on Construction Sites Using Deep Learning Networks
Hand signals, as one of the common ways to communicate, are widely used on construction sites due to their simple but effective nature. However, they may not always be captured timely or interpreted … [Read more...] about Hand Signal Recognition of Workers on Construction Sites Using Deep Learning Networks
Multiple Safety Equipment’s Detection at Active Construction sites Using Effective Deep Learning Techniques
The safety of human labour is the most important thing in this era no matter where the labour force works. Governments and various NGOs focus on ensuring the delivery of the top safety to the labor … [Read more...] about Multiple Safety Equipment’s Detection at Active Construction sites Using Effective Deep Learning Techniques
Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features
Wearing safety helmets can effectively protect the safety of workers on construction sites. However, workers often take off the helmets because of weak security-conscious and discomfort, then hidden … [Read more...] about Deep Learning-Based Workers Safety Helmet Wearing Detection on Construction Sites Using Multi-Scale Features
Deep Learning-Based Object Identification With Instance Segmentation and Pseudo-LiDAR Point Cloud for Work Zone Safety
Automated object identification in three-dimensional (3D) space is crucial for work zone safety, such as compliance with construction rules and preventing workplace injuries and deaths. However, it is … [Read more...] about Deep Learning-Based Object Identification With Instance Segmentation and Pseudo-LiDAR Point Cloud for Work Zone Safety