FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET
In recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world. LiDAR technologies and photogrammetry are currently standard approaches for collecting 3D geometric information of i...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-1-W3-2023/175/2023/isprs-archives-XLVIII-1-W3-2023-175-2023.pdf |
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| author | O. Roman O. Roman E. M. Farella S. Rigon F. Remondino S. Ricciuti D. Viesi |
| author_facet | O. Roman O. Roman E. M. Farella S. Rigon F. Remondino S. Ricciuti D. Viesi |
| author_sort | O. Roman |
| collection | DOAJ |
| description | In recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world. LiDAR technologies and photogrammetry are currently standard approaches for collecting 3D geometric information of indoor and outdoor environments at different scales. This information can potentially be part of a broader processing workflow that, starting from 3D surveyed data and through Building Information Models (BIM) generation, leads to more complex analyses of buildings’ features and behavior (Figure 1). However, creating BIM models, especially of historic and heritage assets (HBIM), is still resource-intensive and time-consuming due to the manual efforts required for data creation and enrichment. Improve 3D data processing, interoperability, and the automation of the BIM generation process are some of the trending research topics, and benchmark datasets are extremely helpful in evaluating newly developed algorithms and methodologies for these scopes. This paper introduces the InCUBE dataset, resulting from the activities of the recently funded EU InCUBE project, focused on unlocking the EU building renovation through integrated strategies and processes for efficient built-environment management (including the use of innovative renewable energy technologies and digitalization). The set of data collects raw and processed data produced for the Italian demo site in the Santa Chiara district of Trento (Italy). The diversity of the shared data enables multiple possible uses, investigations and developments, and some of them are presented in this contribution. |
| first_indexed | 2024-03-11T17:18:28Z |
| format | Article |
| id | doaj.art-4cc212a9fe57408fa46bba8a6a000182 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-11T17:18:28Z |
| publishDate | 2023-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4cc212a9fe57408fa46bba8a6a0001822023-10-19T18:19:11ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-10-01XLVIII-1-W3-202317518210.5194/isprs-archives-XLVIII-1-W3-2023-175-2023FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASETO. Roman0O. Roman1E. M. Farella2S. Rigon3F. Remondino4S. Ricciuti5D. Viesi63D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyDepartment of Industrial Engineering (DII), University of Trento, Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyCenter for Sustainable Energy, Bruno Kessler Foundation (FBK), Trento, ItalyCenter for Sustainable Energy, Bruno Kessler Foundation (FBK), Trento, ItalyIn recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world. LiDAR technologies and photogrammetry are currently standard approaches for collecting 3D geometric information of indoor and outdoor environments at different scales. This information can potentially be part of a broader processing workflow that, starting from 3D surveyed data and through Building Information Models (BIM) generation, leads to more complex analyses of buildings’ features and behavior (Figure 1). However, creating BIM models, especially of historic and heritage assets (HBIM), is still resource-intensive and time-consuming due to the manual efforts required for data creation and enrichment. Improve 3D data processing, interoperability, and the automation of the BIM generation process are some of the trending research topics, and benchmark datasets are extremely helpful in evaluating newly developed algorithms and methodologies for these scopes. This paper introduces the InCUBE dataset, resulting from the activities of the recently funded EU InCUBE project, focused on unlocking the EU building renovation through integrated strategies and processes for efficient built-environment management (including the use of innovative renewable energy technologies and digitalization). The set of data collects raw and processed data produced for the Italian demo site in the Santa Chiara district of Trento (Italy). The diversity of the shared data enables multiple possible uses, investigations and developments, and some of them are presented in this contribution.https://isprs-archives.copernicus.org/articles/XLVIII-1-W3-2023/175/2023/isprs-archives-XLVIII-1-W3-2023-175-2023.pdf |
| spellingShingle | O. Roman O. Roman E. M. Farella S. Rigon F. Remondino S. Ricciuti D. Viesi FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET |
| title_full | FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET |
| title_fullStr | FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET |
| title_full_unstemmed | FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET |
| title_short | FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET |
| title_sort | from 3d surveying data to bim to bem the incube dataset |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-1-W3-2023/175/2023/isprs-archives-XLVIII-1-W3-2023-175-2023.pdf |
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