Paper
10 July 2024 Research on rapid construction of BIM components for land remediation planning based on UAV real scene 3D
Linyan Xu, Jinxiang Shen, Huaying Qu
Author Affiliations +
Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132231W (2024) https://doi.org/10.1117/12.3035589
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China
Abstract
Land remediation planning is a prerequisite and essential foundation for implementing land remediation work. Traditional two-dimensional planning maps are difficult to accurately represent changes in height, depth, and perspective, which may lead to misunderstandings or oversights in spatial relationships during planning and design. Conventional manual 3D modeling is time-consuming, labor-intensive, and may lack accuracy in depicting real scenes. In recent years, low-altitude unmanned aerial vehicle (UAV) aerial photography for real scene 3D modeling has been widely applied. In the context of land remediation planning, a method based on UAV real scene 3D for rapid construction of Building Information Modeling (BIM) components is proposed. Firstly, tilted aerial photography data is collected using a drone, and real scene 3D modeling is carried out in ContextCapture software. Next, the simplified real scene 3D model is imported into Autodesk InfraWorks for spatial registration. Finally, taking the rapid modeling of irrigation pipes as an example, rapid construction of BIM components is achieved. Practical results show that this method effectively enhances the representational capabilities of land remediation scenes. More importantly, it significantly improves the efficiency of 3D modeling for planning BIM components, providing valuable guidance for similar project work.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Linyan Xu, Jinxiang Shen, and Huaying Qu "Research on rapid construction of BIM components for land remediation planning based on UAV real scene 3D", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132231W (10 July 2024); https://doi.org/10.1117/12.3035589
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KEYWORDS
3D modeling

Data modeling

3D applications

Unmanned aerial vehicles

Design

Modeling

Photography

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