Semantic segmentation of bridge point clouds with a synthetic data augmentation strategy and graph-structured deep metric learning

X Yang, E del Rey Castillo, Y Zou… - Automation in …, 2023 - Elsevier
Deep learning techniques are capable of providing versatile solutions to automate
classification of bridge point clouds into corresponding constituent components, but training …

3D object recognition using deep learning for automatically generating semantic BIM data

K Rogage, O Doukari - Automation in Construction, 2024 - Elsevier
The successful reuse of Building Information Model (BIM) data is reliant on the use of clearly
defined objects. File formats such as the Industry Foundation Classes (IFC) along with …

SpaRSE-BIM: Classification of IFC-based geometry via sparse convolutional neural networks

C Emunds, N Pauen, V Richter, J Frisch… - Advanced Engineering …, 2022 - Elsevier
Abstract Information exchange between Building Information Modeling (BIM) tools is
challenging, since many applications use their own native data formats. The Industry …

ArchShapesNet: a novel dataset for benchmarking architectural building information modeling element classification algorithms

Y Yu, D Ha, K Lee, J Choi, B Koo - Journal of Computational …, 2022 - academic.oup.com
Recent studies in the domain of semantic enrichment have employed artificial intelligence
(AI) approaches to distinguish and classify building information modeling (BIM) elements to …

A geometric-relational deep learning framework for BIM object classification

H Luo, G Gao, H Huang, Z Ke, C Peng, M Gu - European Conference on …, 2022 - Springer
Interoperability issue is a significant problem in Building Information Modeling (BIM). Object
type, as a kind of critical semantic information needed in multiple BIM applications like scan …

[HTML][HTML] IFC BIM Model Enrichment with Space Function Information Using Graph Neural Networks

A Buruzs, M Šipetić, B Blank-Landeshammer, G Zucker - Energies, 2022 - mdpi.com
The definition of room functions in Building Information Modeling (BIM) using IfcSpace
entities is an important quality requirement that is often not fulfilled. This paper presents a …

[HTML][HTML] Modeling multiple space views for schematic building design using space ontologies and layout transformation operations

G Suter - Automation in construction, 2022 - Elsevier
Modeling multiple views of spaces involves mapping or transformation between multiple
models. Automated model transformation is challenging as semantic and spatial criteria …

Classification of architectural and MEP BIM objects for building performance evaluation

D Utkucu, H Ying, Z Wang, R Sacks - Advanced Engineering Informatics, 2024 - Elsevier
Numerous factors in current workflows reduce the completeness, accuracy, and reliability of
the information exchanged between Building Information Modelling (BIM) authoring tools …

Automatic Fine-Grained BIM element classification using Multi-Modal deep learning (MMDL)

H Liu, VJL Gan, JCP Cheng, SA Zhou - Advanced Engineering Informatics, 2024 - Elsevier
Abstract In Building Information Modeling (BIM)-based domain-specific applications,
elements should be classified into fine-grained sub-categories concerning their graphical …

Deep neural networks to assist in bim creation using scanned data: A review

M Seydgar, A Motamedi… - … Construction with Reality …, 2022 - conferences.lib.unb.ca
Deep neural networks (DNNs) have been revolutionizing various 3D processing fields, such
as autonomous driving and augmented reality. They also have a great potential to facilitate …