Paper
9 December 2021 3D geometric reconstruction of underground garage based on SLAM laser point cloud
ChunMei Hu, GuangYu Yu, GuoFang Xia, Xi Liu
Author Affiliations +
Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 1212908 (2021) https://doi.org/10.1117/12.2625706
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China
Abstract
At present, there are many methods to establish 3D models, but mainly through traditional measurement methods, so that there are difficulties in point cloud modeling of indoor spaces of buildings and underground buildings. Nowadays, indoor 3D modeling is gradually becoming the focus of people, this paper takes an underground parking garage as a practical case, uses SLAM technology to scan to get point cloud data, and combines Geomagic Studio, AutoCAD, SketchUp and other software to effectively process the data and reconstruct the 3D model of the building with reference to it.
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ChunMei Hu, GuangYu Yu, GuoFang Xia, and Xi Liu "3D geometric reconstruction of underground garage based on SLAM laser point cloud", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 1212908 (9 December 2021); https://doi.org/10.1117/12.2625706
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KEYWORDS
3D modeling

Clouds

Buildings

Reverse modeling

3D scanning

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