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 …
construction. These contain valuable data that, if harnessed efficiently, can help automate or …
Computer vision techniques in construction: a critical review
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 …
years, from medical to industrial robotics. The architecture, engineering and construction …
Construction 4.0
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
Times-series data augmentation and deep learning for construction equipment activity recognition
Automated, real-time, and reliable equipment activity recognition on construction sites can
help to minimize idle time, improve operational efficiency, and reduce emissions. Previous …
help to minimize idle time, improve operational efficiency, and reduce emissions. Previous …
Towards big data driven construction industry
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
Big Data in the construction industry: A review of present status, opportunities, and future trends
The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
L Ding, W Fang, H Luo, PED Love, B Zhong… - Automation in …, 2018 - Elsevier
Computer vision and pattern recognition approaches have been applied to determine
unsafe behaviors on construction sites. Such approaches have been reliant on the …
unsafe behaviors on construction sites. Such approaches have been reliant on the …
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 …
despite workers being made aware of the dangers associated with not wearing a safety …
Machine learning algorithms for construction projects delay risk prediction
A Gondia, A Siam, W El-Dakhakhni… - Journal of Construction …, 2020 - ascelibrary.org
Projects delays are among the most pressing challenges faced by the construction sector
attributed to the sector's complexity and its inherent delay risk sources' interdependence …
attributed to the sector's complexity and its inherent delay risk sources' interdependence …
Computer vision technologies for safety science and management in construction: A critical review and future research directions
Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …
technologies to solve safety problems in the construction industry. Despite the technological …