Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data
Using digital twin models of tunnels has become critical to their efficient maintenance and management. A high-precision 3D tunnel model is the prerequisite for a successful digital twin model of tunnel applications. However, constructing high-precision 3D tunnel models with high-quality textures an...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/22/4329 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850226974961696768 |
|---|---|
| author | Xuan Ding Shen Chen Mu Duan Jinchang Shan Chao Liu Chuli Hu |
| author_facet | Xuan Ding Shen Chen Mu Duan Jinchang Shan Chao Liu Chuli Hu |
| author_sort | Xuan Ding |
| collection | DOAJ |
| description | Using digital twin models of tunnels has become critical to their efficient maintenance and management. A high-precision 3D tunnel model is the prerequisite for a successful digital twin model of tunnel applications. However, constructing high-precision 3D tunnel models with high-quality textures and structural integrity based on mobile laser scanning data remains a challenge, particularly for tunnels of different shapes. This study addresses this problem by developing a novel method for the 3D reconstruction of multi-shaped tunnels based on mobile laser scanning data. This method does not require any predefined mathematical models or projection parameters to convert point clouds into 2D intensity images that conform to the geometric features of tunnel linings. This method also improves the accuracy of 3D tunnel mesh models by applying an adaptive threshold approach that reduces the number of pseudo-surfaces generated during the Poisson surface reconstruction of tunnels. This method was experimentally verified by conducting 3D reconstruction tasks involving tunnel point clouds of four different shapes. The superiority of this method was further confirmed through qualitative and quantitative comparisons with related approaches. By automatically and efficiently constructing a high-precision 3D tunnel model, the proposed method offers an important model foundation for digital twin engineering and a valuable reference for future tunnel model construction projects. |
| format | Article |
| id | doaj-art-ea1eb9b5237b487eb7872e564ca305df |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ea1eb9b5237b487eb7872e564ca305df2025-08-20T02:04:56ZengMDPI AGRemote Sensing2072-42922024-11-011622432910.3390/rs16224329Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning DataXuan Ding0Shen Chen1Mu Duan2Jinchang Shan3Chao Liu4Chuli Hu5National Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, China University of Geosciences (Wuhan), Wuhan 430074, ChinaNational Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, China University of Geosciences (Wuhan), Wuhan 430074, ChinaWuhan CUG Smart City Research Institute Co., Ltd., Wuhan 430080, ChinaWuhan Hanyang Municipal Construction Group Co., Ltd., Wuhan 430050, ChinaThe Institute of Geological Survey, China University of Geosciences, Wuhan 430074, ChinaNational Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, Engineering Research Center of Natural Resource Information Management and Digital Twin Engineering Software, Ministry of Education, China University of Geosciences (Wuhan), Wuhan 430074, ChinaUsing digital twin models of tunnels has become critical to their efficient maintenance and management. A high-precision 3D tunnel model is the prerequisite for a successful digital twin model of tunnel applications. However, constructing high-precision 3D tunnel models with high-quality textures and structural integrity based on mobile laser scanning data remains a challenge, particularly for tunnels of different shapes. This study addresses this problem by developing a novel method for the 3D reconstruction of multi-shaped tunnels based on mobile laser scanning data. This method does not require any predefined mathematical models or projection parameters to convert point clouds into 2D intensity images that conform to the geometric features of tunnel linings. This method also improves the accuracy of 3D tunnel mesh models by applying an adaptive threshold approach that reduces the number of pseudo-surfaces generated during the Poisson surface reconstruction of tunnels. This method was experimentally verified by conducting 3D reconstruction tasks involving tunnel point clouds of four different shapes. The superiority of this method was further confirmed through qualitative and quantitative comparisons with related approaches. By automatically and efficiently constructing a high-precision 3D tunnel model, the proposed method offers an important model foundation for digital twin engineering and a valuable reference for future tunnel model construction projects.https://www.mdpi.com/2072-4292/16/22/4329mobile laser scanningpoint cloudintensity imagetunnel 3D reconstruction |
| spellingShingle | Xuan Ding Shen Chen Mu Duan Jinchang Shan Chao Liu Chuli Hu Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data Remote Sensing mobile laser scanning point cloud intensity image tunnel 3D reconstruction |
| title | Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data |
| title_full | Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data |
| title_fullStr | Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data |
| title_full_unstemmed | Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data |
| title_short | Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data |
| title_sort | towards 3d reconstruction of multi shaped tunnels utilizing mobile laser scanning data |
| topic | mobile laser scanning point cloud intensity image tunnel 3D reconstruction |
| url | https://www.mdpi.com/2072-4292/16/22/4329 |
| work_keys_str_mv | AT xuanding towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata AT shenchen towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata AT muduan towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata AT jinchangshan towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata AT chaoliu towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata AT chulihu towards3dreconstructionofmultishapedtunnelsutilizingmobilelaserscanningdata |