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IoT - An Opportunity for Autonomous BIM Reconstruction?

Irmler, Robert ; Franz, Steffen ; Rüppel, Uwe :
IoT - An Opportunity for Autonomous BIM Reconstruction?
In: Workshop of the European Group for Intelligent Computing in Engineering, Lausanne, Switzerland. In: Lecture Notes in Computer Science . Springer, Cham
[Konferenz- oder Workshop-Beitrag], (2018)

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: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2018
Autor(en): Irmler, Robert ; Franz, Steffen ; Rüppel, Uwe
Titel: IoT - An Opportunity for Autonomous BIM Reconstruction?
Sprache: Englisch
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.

Buchtitel: Advanced Computing Strategies for Engineering
Reihe: Lecture Notes in Computer Science
Verlag: Springer, Cham
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
Veranstaltungstitel: Workshop of the European Group for Intelligent Computing in Engineering
Veranstaltungsort: Lausanne, Switzerland
Hinterlegungsdatum: 12 Jun 2018 13:54
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