Irmler, Robert ; Franz, Steffen ; Rüppel, Uwe (2018)
IoT - An Opportunity for Autonomous BIM Reconstruction?
Workshop of the European Group for Intelligent Computing in Engineering. Lausanne, Switzerland
doi: 10.1007/978-3-319-91635-4_4
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
While the concepts and technologies of Building Information Modeling (BIM) are on their way to become an industry standard, there is an increasing demand for the digitalization of the existing building stock. Based on our previous work on this subject we present a framework for autonomous BIM reconstruction using an IoT-based approach. We show that it is possible to integrated depth sensing technologies with common devices that move regularly throughout a building. By autonomously conducting several scans of the same region it is possible to enhance the quality of the reconstructed model while reducing the human workload. The use of (semi-)autonomous devices however comes with a trade-off and in this study could not achieve results equal to human-made scans. abstract_en: While the concepts and technologies of Building Information Modeling (BIM) are on their way to become an industry standard, there is an increasing demand for the digitalization of the existing building stock. Based on our previous work on this subject we present a framework for autonomous BIM reconstruction using an IoT-based approach. We show that it is possible to integrated depth sensing technologies with common devices that move regularly throughout a building. By autonomously conducting several scans of the same region it is possible to enhance the quality of the reconstructed model while reducing the human workload. The use of (semi-)autonomous devices however comes with a trade-off and in this study could not achieve results equal to human-made scans.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Irmler, Robert ; Franz, Steffen ; Rüppel, Uwe |
| Art des Eintrags: | Bibliographie |
| Titel: | IoT - An Opportunity for Autonomous BIM Reconstruction? |
| Sprache: | Englisch |
| Publikationsjahr: | 10 Juni 2018 |
| Verlag: | Springer, Cham |
| Buchtitel: | Advanced Computing Strategies for Engineering |
| Reihe: | Lecture Notes in Computer Science |
| Veranstaltungstitel: | Workshop of the European Group for Intelligent Computing in Engineering |
| Veranstaltungsort: | Lausanne, Switzerland |
| DOI: | 10.1007/978-3-319-91635-4_4 |
| Kurzbeschreibung (Abstract): | While the concepts and technologies of Building Information Modeling (BIM) are on their way to become an industry standard, there is an increasing demand for the digitalization of the existing building stock. Based on our previous work on this subject we present a framework for autonomous BIM reconstruction using an IoT-based approach. We show that it is possible to integrated depth sensing technologies with common devices that move regularly throughout a building. By autonomously conducting several scans of the same region it is possible to enhance the quality of the reconstructed model while reducing the human workload. The use of (semi-)autonomous devices however comes with a trade-off and in this study could not achieve results equal to human-made scans. abstract_en: While the concepts and technologies of Building Information Modeling (BIM) are on their way to become an industry standard, there is an increasing demand for the digitalization of the existing building stock. Based on our previous work on this subject we present a framework for autonomous BIM reconstruction using an IoT-based approach. We show that it is possible to integrated depth sensing technologies with common devices that move regularly throughout a building. By autonomously conducting several scans of the same region it is possible to enhance the quality of the reconstructed model while reducing the human workload. The use of (semi-)autonomous devices however comes with a trade-off and in this study could not achieve results equal to human-made scans. |
| Freie Schlagworte: | BIM, Depth sensor, Google Tango, IoT, Reconstruction |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen |
| Hinterlegungsdatum: | 12 Jun 2018 13:54 |
| Letzte Änderung: | 02 Feb 2022 07:29 |
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