Computer vision applications in construction: Current state, opportunities & challenges

S Paneru, I Jeelani - Automation in Construction, 2021 - Elsevier
Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …

Computer vision techniques in construction: a critical review

S Xu, J Wang, W Shou, T Ngo, AM Sadick… - … Methods in Engineering, 2021 - Springer
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …

Falls from heights: A computer vision-based approach for safety harness detection

W Fang, L Ding, H Luo, PED Love - Automation in construction, 2018 - Elsevier
Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet,
despite workers being made aware of the dangers associated with not wearing a safety …

Computer vision techniques for construction safety and health monitoring

JO Seo, SU Han, SH Lee, H Kim - Advanced Engineering Informatics, 2015 - Elsevier
For construction safety and health, continuous monitoring of unsafe conditions and action is
essential in order to eliminate potential hazards in a timely manner. As a robust and …

Computer vision technologies for safety science and management in construction: A critical review and future research directions

BHW Guo, Y Zou, Y Fang, YM Goh, PXW Zou - Safety science, 2021 - Elsevier
Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

Automated methods for activity recognition of construction workers and equipment: State-of-the-art review

B Sherafat, CR Ahn, R Akhavian… - Journal of …, 2020 - ascelibrary.org
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Detecting construction equipment using a region-based fully convolutional network and transfer learning

H Kim, H Kim, YW Hong, H Byun - Journal of computing in Civil …, 2018 - ascelibrary.org
For proper construction site management and plan revisions during construction, it is
necessary to understand a construction site's status in real time. Many vision-based …

Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology

W Fang, L Ma, PED Love, H Luo, L Ding… - Automation in …, 2020 - Elsevier
Hazards potentially affect the safety of people on construction sites include falls from heights
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …

Automated excavators activity recognition and productivity analysis from construction site surveillance videos

C Chen, Z Zhu, A Hammad - Automation in construction, 2020 - Elsevier
The productivity of construction equipment plays an important role in completing
construction projects within schedule and under budget. However, the current productivity …

Deep-learning-based visual data analytics for smart construction management

A Pal, SH Hsieh - Automation in Construction, 2021 - Elsevier
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …