| Issue |
E3S Web of Conf.
Volume 550, 2024
The 16th International Scientific Conference of Civil and Environmental Engineering for the PhD. Students and Young Scientists – Young Scientist 2024 (YS24)
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|---|---|---|
| Article Number | 01020 | |
| Number of page(s) | 7 | |
| Section | Civil Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202455001020 | |
| Published online | 16 July 2024 | |
Planes geometry verification program written in Python
Department of Surveying, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Vazovova 5, 812 43, Bratislava, Slovakia
* Corresponding author: aset.madiev@stuba.sk
In recent years, there has been significant progress in sensor and scanning technologies in the computer vision and 3D visualization field. This has led to an increased interest in processing and analysing point clouds, which are groups of 3D points collected by laser scanners, stereo cameras, and drones. The data obtained from these devices has a wide range of applications. This article focuses on using point cloud data to verify planar structural elements of buildings. The article aims to present a methodology for analysing planar point cloud objects using 3D models in IFC format as reference data. The research includes processing data in IFC format, exporting geometric information, segmenting plane objects from a point cloud obtained by laser scanning, and analysing the data obtained. We provide the necessary graphic materials and code to enhance the content of the article. We also evaluate the results and create an outline for future work.
© The Authors, published by EDP Sciences, 2024
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