The failure of construction workers to wear safety equipment as required is an important cause of safety accidents. In fortunate cases people are injured and severe cases can cause death. In order to … [Read more...] about Design and Implementation of Vision Based Safety Detection Algorithm for Personnel in Construction Site
Detectors
Using Driver State Detection in Automated Vehicles
The next several years will bring a large increase in automated vehicle capabilities. High levels of automation will require bi-directional transfers of control between the driver and vehicle. These … [Read more...] about Using Driver State Detection in Automated Vehicles
Automated Detection of Workers and Heavy Equipment on Construction Sites: A Convolutional Neural Network Approach
Detecting the presence of workers, plant, equipment, and materials (i.e. objects) on sites to improve safety and productivity has formed an integral part of computer vision- based research in … [Read more...] about Automated Detection of Workers and Heavy Equipment on Construction Sites: A Convolutional Neural Network Approach
Locating Roadworks Sites via Detecting Change in Lateral Positions of Traffic Signs Measured Relative to the Ego-Car
Roadworks can be hazardous for both road workers and road users. Even with state-of-the-art safety measures in place, serious accidents do happen there, particularly when drivers do not heed roadwork … [Read more...] about Locating Roadworks Sites via Detecting Change in Lateral Positions of Traffic Signs Measured Relative to the Ego-Car
Measuring the Impacts of Safety Knowledge on Construction Workers’ Attentional Allocation and Hazard Detection Using Remote Eye-Tracking Technology
Although several studies have highlighted the importance of attention in reducing the number of injuries in the construction industry, few have attempted to empirically measure the attention of … [Read more...] about Measuring the Impacts of Safety Knowledge on Construction Workers’ Attentional Allocation and Hazard Detection Using Remote Eye-Tracking Technology