Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Struck-by accidents have resulted in a significant number of fatal and nonfatal injuries in the
construction industry. As a proactive safety measure against struck-by hazards, the authors …

Deep learning object detection algorithms have proven their capacity to identify a variety of
objects from images and videos in near real-time speed. The construction industry can …

Safety has been a concern for the construction industry for decades. Unsafe conditions and
behaviors are considered as the major causes of construction accidents. The current safety …

The productivity of construction equipment plays an important role in completing
construction projects within schedule and under budget. However, the current productivity …

This paper presents a new benchmark dataset for validating vision-based methods that
automatically identifies visually distinctive working activities of excavators and dump trucks …

Computer vision has been utilized to extract safety-related information from images with the
advancement of video monitoring systems and deep learning algorithms. However …

Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

Despite the use of traditional and novel approaches to improve construction safety
management, safety performance in the construction industry is still considered poor …