Point Cloud Capturing and AI-based Classification for As-built BIM Using Augmented Reality
Schäfer, Karl-Herbert; Quint, Franz (Hrsg). Artificial Intellgence: Application in Life Sciences and Beyond. 3. Aufl. Kaiserslautern. 2021 S. 158 - 166 (The Upper Rhine Artificial Intelligence Symposium (UR-AI))
Erscheinungsjahr: 2021
Publikationstyp: Buchbeitrag (Konferenzbeitrag)
Sprache: Deutsch
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Inhaltszusammenfassung
The benefits of using Building Information Modeling (BIM) have been proven in architecture, engineering and construction industry. However, implementing BIM in facility management has not been achieved yet due to missing complete and accurate as-built BIM. Modeling comprehensive information for as-built documentation from 3D point cloud data is referred as Scan-to-BIM but lacks automation caused by unstructured data and high user input. We tackle the main issue of structuring the 3D point clo...The benefits of using Building Information Modeling (BIM) have been proven in architecture, engineering and construction industry. However, implementing BIM in facility management has not been achieved yet due to missing complete and accurate as-built BIM. Modeling comprehensive information for as-built documentation from 3D point cloud data is referred as Scan-to-BIM but lacks automation caused by unstructured data and high user input. We tackle the main issue of structuring the 3D point cloud data by using artificial intelligence while capture. With both, a highly reliable and low-cost technology we achieve less time-consuming point cloud capturing and segmentation contributing to a novel Scan-to-BIM approach with promising initial results.» weiterlesen» einklappen
Klassifikation
DFG Fachgebiet:
Informatik
DDC Sachgruppe:
Allgemeines, Wissenschaft
