Researchers propose a vision-based warning system for the maintenance personnel working on short-term construction sites. Traditional solutions use passive protection, like setting up traffic cones, … [Read more...] about Vision-Based Warning System for Maintenance Personnel on Short-Term Roadwork Site
Identification Systems
Quantitatively Evaluate Work Zone Driver Behavior Using 2D Imaging, 3-D Lidar & Artificial Intelligence in Support of Congestion Mitigation Model Calibration & Validation
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, 3-D Lidar & Artificial Intelligence in Support of Congestion Mitigation Model Calibration & Validation
Quantitatively Evaluate Work Zone Driver Behavior Using 2D Imaging, 3D LiDAR, and Artificial Intelligence in Support of Congestion Mitigation Model Calibration and Validation
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
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
Kernel-Based Traffic Sign Tracking to Improve Highway Workzone Recognition for Reliable Autonomous Driving
To be deployed in the real world, a self-driving car must be capable of responding to exceptional road conditions, such as temporary work zones, because such events can change previously known traffic … [Read more...] about Kernel-Based Traffic Sign Tracking to Improve Highway Workzone Recognition for Reliable Autonomous Driving
Deep Learning Detection of Personal Protective Equipment to Maintain Safety Compliance on Construction Sites
Proper use of personal protective equipment (PPE) is key to minimizing injuries from accidents in construction sites. Past research has attempted at identifying PPE from digital images and videos. … [Read more...] about Deep Learning Detection of Personal Protective Equipment to Maintain Safety Compliance on Construction Sites