Improved building MEP systems semantic segmentation in point clouds using a novel multi-class dataset and local–global vector transformer network-Reference-Cited by-同舟云学术

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Improved building MEP systems semantic segmentation in point clouds using a novel multi-class dataset and local–global vector transformer network

Published:2024-11 Issue: Volume:96 Page:110311
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Jing Shuju,Cha Gichun^ORCID,Maru Michael Bekele^ORCID,Yu Byoungjoon^ORCID,Park Seunghee^ORCID

Publisher

Elsevier BV

Reference61 articles.

1. Technologies for digital twin applications in construction;Tuhaise;Autom. Constr.,2023

2. Automated methods for indoor point cloud preprocessing: Coordinate frame reorientation and building exterior removal;Li;J. Build. Eng.,2023

3. BIM-based integrated delivery technologies for intelligent MEP management in the operation and maintenance phase;Hu;Adv. Eng. Softw.,2018

4. Segmentation of building point cloud models including detailed architectural/structural features and MEP systems;Dimitrov;Autom. Constr.,2015

5. As-built BIM reconstruction of piping systems using PipeNet;Xie;Autom. Constr.,2023

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