Knowledge-based semantic web technologies in the AEC sector

X Shen, SME Sepasgozar, MJ Ostwald - Automation in Construction, 2024 - Elsevier
Semantic web technologies are essential for seamless data exchange between Building
Information Modelling and technologies such as the Internet of Things and Geographic …

Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic‐rich building information model

J Chen, W Lu, J Lou - Computer‐Aided Civil and Infrastructure …, 2023 - Wiley Online Library
Concrete defect information is of vital importance to building maintenance. Increasingly,
computer vision has been explored for automated concrete defect detection. However …

The impact of industry 4.0 concepts and technologies on different phases of construction project lifecycle: a literature review

J Menegon, LCP da Silva Filho - Iranian Journal of Science and …, 2023 - Springer
With the advent of the fourth Industrial Revolution, sensors, machines, tools, and intelligent
systems became connected and can interact with each other along the production chain …

[HTML][HTML] Automated UAV image-to-BIM registration for building façade inspection using improved generalised Hough transform

C Zhang, F Wang, Y Zou, J Dimyadi, BHW Guo… - Automation in …, 2023 - Elsevier
Abstract While Unmanned Aerial Vehicles (UAVs) are increasingly used for building façade
inspections, their advantages have not been fully leveraged due to the challenge in gaining …

Estimating construction waste truck payload volume using monocular vision

J Chen, W Lu, L Yuan, Y Wu, F Xue - Resources, Conservation and …, 2022 - Elsevier
Quantifying truck-loaded materials is a problem in many industrial operations. In
construction and demolition waste (CDW) management, inspectors at disposal facilities are …

Structural deterioration knowledge ontology towards physics-informed machine learning for enhanced bridge deterioration prediction

X Hu, K Liu - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
The structural deterioration knowledge in existing mathematical physics models offers a
unique opportunity to develop data-driven, physics-informed machine learning (ML) for …

Building damage detection from satellite images after natural disasters on extremely imbalanced datasets

Y Wang, AWZ Chew, L Zhang - Automation in construction, 2022 - Elsevier
Assessment of natural disasters caused damage (s) to buildings is important for rescue work
coordination which, however, remains a difficult engineering task to be conducted …

A proposed ontology to support the hardware design of building inspection robot systems

L Ma, T Hartmann - Advanced Engineering Informatics, 2023 - Elsevier
Due to the growing number of architecturally complex buildings built in recent decades,
mobile building inspection robot systems are required to operate in increasingly complex …

Ontology-based modelling of lifecycle underground utility information to support operation and maintenance

M Wang - Automation in construction, 2021 - Elsevier
Operation and maintenance (O&M) of underground utilities is crucial to ensure normal
functionality of utilities by performing different inspection and maintenance activities. A …

[HTML][HTML] Dynamic graph CNN based semantic segmentation of concrete defects and as-inspected modeling

F Bahreini, A Hammad - Automation in Construction, 2024 - Elsevier
Obtaining accurate information of defective areas of infrastructures helps to perform repair
actions more efficiently. Recently, LiDAR scanners have been used for the inspection of …