Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

A significant advancement in automated driving technology and the deployment of it have
noticeably increased the safety of humans in transportation, industry, and the construction …

There is high demand for heavy equipment in civil infrastructure projects and their
performance is a determinant of the successful delivery of site operations. Although …

The monitoring and tracking of construction equipment, eg, excavators, is of great interest to
improve the productivity, safety, and sustainability of construction projects. In recent years …

The ability to monitor and track the interactions between construction equipment and
workers can lead to creating a safer and more productive work environment. Most recent …

This study proposed an automated method for manifesting construction activity scenes by
image captioning–an approach rooted in computer vision and natural language generation …

In recent years, computer vision algorithms have shown to effectively leverage visual data
from jobsites for video-based activity analysis of construction equipment. However …

Hydraulic excavators, widely employed in harsh environments, have garnered increased
attention in recent years from manufacturers and researchers for automatic operation …

This paper presents a systematic method to create universally applicable synthetic training
image datasets for computer vision-based construction object detection. The synthetic …

Safety in the construction industry has always been a focus of attention. Existing methods of
detecting unsafe behavior of workers relied primarily on manual detection. Not only did it …