Annotation rules and classes for semantic segmentation of point clouds for digitalization of existing bridge structures
- Germanys large stock of existing bridge infrastructure that has to be digitalized as BIM, politically prescribed. Therefore, point cloud data can be uses. Available open-source datasets and different approaches on semantic segmentation are researched. To fill the gap between theoretical research on point cloud data and manual inspection, a list of object-oriented classes for semantic segmentation is proposed. These classes are put in context with entities of the IFC schema and the German ASB-Ing. An application example with the proposed classes is shown on a manually segmented point cloud and on an approach with the RANSAC Shape Detection algorithm.
| Author: | Marius Schellen, Fabian Kaufmann, Christian Glock, Thomas Tschickardt |
|---|---|
| URL: | https://ec-3.org/publications/conference/paper/?id=EC32023_228 |
| DOI: | https://doi.org/10.35490/EC3.2023.228 |
| ISBN: | 978-070170273-1 |
| ISSN: | 2684-1150 |
| Parent Title (English): | Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference |
| Publisher: | European Council for Computing in Construction |
| Document Type: | Conference Proceeding |
| Language: | English |
| Publication year: | 2023 |
| Year of first Publication: | 2023 |
| Release Date: | 2025/05/30 |
| Page Number: | 8 |
| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Bauingenieurwesen / Massivbau und Baukonstruktion |
| Open access state: | Gold Open-Access |
| RPTU: | Kaiserslautern |
| Research funding: | Sonstige |
| Created at the RPTU: | Yes |