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 …

Digital twin for intelligent tunnel construction

T Li, X Li, Y Rui, J Ling, S Zhao, H Zhu - Automation in Construction, 2024 - Elsevier
New-generation intelligent construction places higher demands on digitisation and
intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real …

Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry

CJ Liang, TH Le, Y Ham, BRK Mantha… - Automation in …, 2024 - Elsevier
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Visual perception enabled industry intelligence: state of the art, challenges and prospects

J Yang, C Wang, B Jiang, H Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …

Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements

X Wang, N El-Gohary - Automation in Construction, 2023 - Elsevier
Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

Opportunities and challenges of generative AI in construction industry: Focusing on adoption of text-based models

P Ghimire, K Kim, M Acharya - Buildings, 2024 - mdpi.com
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

Deep learning-based data analytics for safety in construction

J Liu, H Luo, H Liu - Automation in construction, 2022 - Elsevier
Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Advancing construction site workforce safety monitoring through BIM and computer vision integration

AS Kulinan, M Park, PPW Aung, G Cha… - Automation in Construction, 2024 - Elsevier
Ensuring a safe work environment is crucial for construction projects. It is essential that
workforce monitoring is both efficient and non-intrusive to the ongoing construction activities …

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 …

Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review

A Sabato, S Dabetwar, NN Kulkarni… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …