3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review

K Mirzaei, M Arashpour, E Asadi, H Masoumi… - Advanced Engineering …, 2022 - Elsevier
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

[HTML][HTML] Building information modelling and internet of things integration for facility management—Literature review and future needs

A Mannino, MC Dejaco, F Re Cecconi - Applied Sciences, 2021 - mdpi.com
Digitisation of the built environment is seen as a significant factor for innovation in the
Architecture, Engineering, Construction and Operation sector. However, lack of data and …

Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review

J Wang, L Jiang, H Yu, Z Feng, R Castaño-Rosa… - … and Sustainable Energy …, 2024 - Elsevier
As urban development progresses, the built environment control has faced more critical
challenges in improving energy efficiency, air quality, and environmental comfort. Occupant …

Applications of machine learning to BIM: A systematic literature review

A Zabin, VA González, Y Zou, R Amor - Advanced Engineering Informatics, 2022 - Elsevier
Abstract As Building Information Modeling (BIM) workflows are becoming very relevant for
the different stages of the project's lifecycle, more data is produced and managed across it …

[HTML][HTML] BIM–GIS integrated utilization in urban disaster management: the contributions, challenges, and future directions

Y Cao, C Xu, NM Aziz, SN Kamaruzzaman - Remote Sensing, 2023 - mdpi.com
In the 21st Century, disasters have severe negative impacts on cities worldwide. Given the
significant casualties and property damage caused by disasters, it is necessary for disaster …

A science mapping-based review of work-related musculoskeletal disorders among construction workers

MF Antwi-Afari, H Li, AHS Chan, JO Seo, S Anwer… - Journal of safety …, 2023 - Elsevier
Introduction: Work-related musculoskeletal disorders (WMSDs) are recognized as a leading
cause of nonfatal injuries in construction, but no review of existing studies has systematically …

Fall prevention from scaffolding using computer vision and IoT-based monitoring

M Khan, R Khalid, S Anjum, SVT Tran… - Journal of Construction …, 2022 - ascelibrary.org
Fall from height (FFH) is the most significant cause of occupational fatalities in the
construction industry, accounting for approximately 54% of all accidents. Such fatalities have …

Risk factors and emerging technologies for preventing falls from heights at construction sites

M Khan, C Nnaji, MS Khan, A Ibrahim, D Lee… - Automation in …, 2023 - Elsevier
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …

Automated PPE-Tool pair check system for construction safety using smart IoT

X Yang, Y Yu, S Shirowzhan, H Li - Journal of Building Engineering, 2020 - Elsevier
Construction hand tools have been widely used in the construction industry. These tools
have changed the building methods and improved the construction productivity significantly …

Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study

M Arashpour, T Ngo, H Li - Journal of Building Engineering, 2021 - Elsevier
Acquiring photos and videos has become a new norm in construction and building projects.
However, imagery data is not utilized effectively due to the shortage of required skillsets in …