Towards big data driven construction industry

F Li, Y Laili, X Chen, Y Lou, C Wang, H Yang… - Journal of Industrial …, 2023 - Elsevier
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 …

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 …

Building demolition waste management through smart BIM: A case study in Hong Kong

K Kang, S Besklubova, Y Dai, RY Zhong - Waste Management, 2022 - Elsevier
Hong Kong's construction industry, known for its massive building infrastructure, produces
an enormous amount of waste every year, the vast majority of which is disposed for landfills …

AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning

M Kamari, Y Ham - Automation in Construction, 2022 - Elsevier
Hurricanes are among the most devastating natural disasters in the United States, causing
billions of dollars of property damage and insured losses. During extreme wind events …

Vision-assisted BIM reconstruction from 3D LiDAR point clouds for MEP scenes

B Wang, Q Wang, JCP Cheng, C Song, C Yin - Automation in Construction, 2022 - Elsevier
Mechanical, electrical and plumbing (MEP) system provides various services and creates
comfortable environments to residents in cities. To enhance the management efficiency of …

Sampling-attention deep learning network with transfer learning for large-scale urban point cloud semantic segmentation

Y Zhou, A Ji, L Zhang, X Xue - Engineering Applications of Artificial …, 2023 - Elsevier
Targeting the development of smart cities to facilitate the significant analysis of large-scale
urban for construction and update. This research develops a new method named transfer …

Quality assurance for building components through point cloud segmentation leveraging synthetic data

HX Zhang, Z Zou - Automation in Construction, 2023 - Elsevier
Abstract Quality Assurance and Quality Control (QA/QC) play a crucial role in the building
project life cycle, especially during construction, as discrepancies between as-built …

Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos

B Alizadeh, D Li, J Hillin, MA Meyer… - Advanced Engineering …, 2022 - Elsevier
The number and intensity of flood events have been on the rise in many regions of the world.
In some parts of the US, for example, almost all residential properties, transportation …

Artificial intelligence in smart logistics cyber-physical systems: State-of-the-arts and potential applications

Y Liu, X Tao, X Li, AW Colombo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Logistics creates tremendous economic value through supporting the trading of goods
between firms and customers, thereby improving the welfare of the society. In order to …

Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network

Z Weng, G Ablat, D Wu, C Liu, F Li, Y Du… - Automation in construction, 2022 - Elsevier
Non-destructive pavement aggregate gradation estimation during construction is required
because the aggregate distribution is difficult to control but impacts pavement performance …