Joint Structure Detection and Multi-Scale Clustering Filtering for Tunnel Lining Extraction From Point Clouds-Reference-Cited by-同舟云学术

Joint Structure Detection and Multi-Scale Clustering Filtering for Tunnel Lining Extraction From Point Clouds

Published:2024-09 Issue:9 Volume:25 Page:11214-11226
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhao Yipeng¹^ORCID,Li Aiguang²,Du Zhigang³,Chen Yiping⁴^ORCID,Sun Haili⁵^ORCID,Zhi Zhiyang⁴^ORCID

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu, China

3. China Railway Tunnel Group Company Ltd., Guangzhou, China

4. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China

5. Key Laboratory of 3D Information Acquisition and Application, Beijing Advanced Innovation Center for Imaging Theory and Technology, College of Resource Environment and Tourism, Capital Normal University, Beijing, China

Funder

National Natural Science Foundation of China

China Railway Tunnel Group Company Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10492659.pdf?arnumber=10492659

Reference39 articles.

1. Analysis and Intelligent Prediction for Displacement of Stratum and Tunnel Lining by Shield Tunnel Excavation in Complex Geological Conditions: A Case Study

2. Automated As-Built Model Generation of Subway Tunnels from Mobile LiDAR Data

3. Three-dimensional coupled hydromechanical analysis of localized joint leakage in segmental tunnel linings

4. Intelligent crack extraction and analysis for tunnel structures with terrestrial laser scanning measurement

5. Structure monitoring and deformation analysis of tunnel structure