Keywords
Indoor space
point cloud data
Building information modeling (BIM)
Submitted : 2023-09-25
Accepted : 2023-10-10
Published : 2023-10-25
Abstract
In order to enhance modeling efficiency and accuracy, we utilized 3D laser point cloud data for indoor space modeling. Point cloud data was obtained with a 3D laser scanner and optimized with Autodesk Recap and Revit software to extract geometric information about the indoor environment. Furthermore, we proposed a method for constructing indoor elements based on parametric components. The research outcomes of this paper will offer new methods and tools for indoor space modeling and design. The approach of indoor space modeling based on 3D laser point cloud data and parametric component construction can enhance modeling efficiency and accuracy, providing architects, interior designers, and decorators with a better working platform and design reference.
References
Wang T, Zhang Y, Tian Y, et al., 2023, Realistic Modeling of Large Interchange Bridges and Roads Based on Multi-Source Laser Point Cloud Data. Beijing Surveying and Mapping, 37(01): 37–42. https://www.doi.org/10.19580/j.cnki.1007-3000.2023.01.007
Yu C, 2022, Research on Three-Dimensional Landscape Modeling Based on Laser Point Cloud Data. Microcomputer Applications, 38(04): 202–204 + 208.
Liu Y, Zhang C, 2022, Visual Modeling of Architectural Landscape Based on Three-Dimensional Laser Point Cloud Data. Laser Journal, 43(03): 138–142. https://www.doi.org/10.14016/j.cnki.jgzz.2022.03.138
Yan H, 2019, Model Reconstruction of Indoor Scenes and Pipeline Systems Based on Three-Dimensional Laser Scanning Technology. Beijing Surveying and Mapping, 33(10): 1206–1209. https://www.doi.org/10.19580/j.cnki.1007-3000.2019.10.019