[HTML][HTML] 3D reconstruction in underground utilities

Y Su, J Wang, X Wang, Y Yao, W Shou - Automation in Construction, 2023 - Elsevier
Underground utilities (UU) play a vital role in modern life. Creating an accurate, up-to-date,
and comprehensive digital representation of underground infrastructure has become a top …

Point cloud denoising review: from classical to deep learning-based approaches

L Zhou, G Sun, Y Li, W Li, Z Su - Graphical Models, 2022 - Elsevier
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of point cloud denoising techniques. In this article, we first provide a …

[HTML][HTML] Advancements in 3D digital model generation for digital twins in industrial environments: Knowledge gaps and future directions

M Kamali, B Atazadeh, A Rajabifard, Y Chen - Advanced Engineering …, 2024 - Elsevier
Digital twins are considered a transformative paradigm for industrial environments, providing
a dynamic, digital, and intelligent representation of industrial assets. The necessity of digital …

As-built BIM reconstruction of pi** systems using PipeNet

Y **e, S Li, T Liu, Y Cai - Automation in Construction, 2023 - Elsevier
Abstract Building Information Modeling (BIM) is gradually recognized and promoted as the
new standard practice in the construction industry as well as the built environment …

Omni-Scan2BIM: A ready-to-use Scan2BIM approach based on vision foundation models for MEP scenes

B Wang, Z Chen, M Li, Q Wang, C Yin… - Automation in …, 2024 - Elsevier
Mechanical, electrical, and plumbing (MEP) systems play a crucial role in providing various
services and creating comfortable environments for urban residents. In order to enhance the …

Deep learning network for indoor point cloud semantic segmentation with transferability

L Li, J Chen, X Su, H Han, C Fan - Automation in Construction, 2024 - Elsevier
Semantic segmentation is crucial for interpreting point cloud data and plays a fundamental
role in automating the creation of as-built BIM. Existing neural network models for semantic …

Automated generation of a digital twin of a process plant by using 3D scan and artificial intelligence

M Grau, W Korol, J Lützenberger… - … : Responding to System …, 2021 - ebooks.iospress.nl
The simulation of production processes using a Digital Twin is a promising tool for predictive
planning, analysis of existing systems or process-parallel monitoring. In the process …

An approach for the incremental update of a digital twin of a process plant

P Kremer, J Lützenberger, F Müller… - … and the Future of …, 2022 - ebooks.iospress.nl
Process plants have a long life cycle which often has started prior to the digital era. Most
recently, the concept of digital twin provides significant support for process optimization and …

Aero-engine pipe gap automatic detection based on 3D scanning point clouds

C Ding, Y Liu, T Cao, J Wang - Measurement, 2024 - Elsevier
Complex pipe systems are an important part of aero-engines to ensure reliable operations.
These pipes are typically distributed in a narrow space while retaining a safe distance from …

Aircraft pipe gap inspection on raw point cloud from a single view

T Cao, L Zhou, L Qu, Y Liu, C Ding… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The pipe is a common part of aviation equipment. The pipe gap is one of the important
factors that affect the safety of an aviation equipment system. It is crucial to quickly and …