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IoT - An Opportunity for Autonomous BIM Reconstruction?

Irmler, Robert and Franz, Steffen and 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
[Conference or Workshop Item] , (2018)

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.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Irmler, Robert and Franz, Steffen and Rüppel, Uwe
Title: IoT - An Opportunity for Autonomous BIM Reconstruction?
Language: English
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.

Title of Book: Advanced Computing Strategies for Engineering
Series Name: Lecture Notes in Computer Science
Publisher: Springer, Cham
Uncontrolled Keywords: BIM, Depth sensor, Google Tango, IoT, Reconstruction
Divisions: 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institute of Numerical Methods and Informatics in Civil Engineering
Event Title: Workshop of the European Group for Intelligent Computing in Engineering
Event Location: Lausanne, Switzerland
Date Deposited: 12 Jun 2018 13:54
DOI: 10.1007/978-3-319-91635-4_4
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