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Computer vision applications in construction: Current state, opportunities & challenges
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 …
Digital twin for intelligent tunnel construction
New-generation intelligent construction places higher demands on digitisation and
intelligence of tunnel. Digital twin (DT) effectively supports high-fidelity modelling, virtual-real …
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
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …
architecture, engineering, and construction (AEC) industry to positively impact project …
Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
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 …
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
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …
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 …
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
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 …
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
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 …
(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
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …