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Real-time collaborative reconstruction of digital building models with mobile devices

Franz, Steffen and Irmler, Robert and Rüppel, Uwe (2018):
Real-time collaborative reconstruction of digital building models with mobile devices.
In: Advanced Engineering Informatics, Elsevier, pp. 569 - 580, 38, ISSN 1474-0346, DOI: 10.1016/j.aei.2018.08.012, [Online-Edition: http://www.sciencedirect.com/science/article/pii/S1474034617...],
[Article]

Abstract

Many software-based building processes require digital building models. Since the building stock does not have sufficient data in this regard, the demand for Scan-to-BIM processes is increasing. In this paper we present a system for the reconstruction of ‘as-built’ BIM content of house interiors based on the Google Tango technology. The strength of our approach is the use of low-cost mobile scanning devices and a client-server system that allows for a real-time collaborative scanning and reconstruction of indoor scenes. We developed a server application that continuously aggregates scan data of multiple scanning devices (clients) and applies the data stream to a real-time post-processing pipeline to reconstruct rooms, walls, doors and windows. The reconstruction result is then distributed to all clients, where it is visualized in real time. The collaborative workflow and real-time data processing make our system especially useful in situations that are time-critical and require concurrent collection and processing of data. One of our targeted use cases therefore is the model generation for crime scene documentation. The effectiveness of our approach was demonstrated on three test sites. Our results compare well to other state-of-art methods regarding the reconstruction of walls, but they also revealed potential for improvement regarding the detection of doors and windows in occluded and cluttered environments.

Item Type: Article
Erschienen: 2018
Creators: Franz, Steffen and Irmler, Robert and Rüppel, Uwe
Title: Real-time collaborative reconstruction of digital building models with mobile devices
Language: English
Abstract:

Many software-based building processes require digital building models. Since the building stock does not have sufficient data in this regard, the demand for Scan-to-BIM processes is increasing. In this paper we present a system for the reconstruction of ‘as-built’ BIM content of house interiors based on the Google Tango technology. The strength of our approach is the use of low-cost mobile scanning devices and a client-server system that allows for a real-time collaborative scanning and reconstruction of indoor scenes. We developed a server application that continuously aggregates scan data of multiple scanning devices (clients) and applies the data stream to a real-time post-processing pipeline to reconstruct rooms, walls, doors and windows. The reconstruction result is then distributed to all clients, where it is visualized in real time. The collaborative workflow and real-time data processing make our system especially useful in situations that are time-critical and require concurrent collection and processing of data. One of our targeted use cases therefore is the model generation for crime scene documentation. The effectiveness of our approach was demonstrated on three test sites. Our results compare well to other state-of-art methods regarding the reconstruction of walls, but they also revealed potential for improvement regarding the detection of doors and windows in occluded and cluttered environments.

Journal or Publication Title: Advanced Engineering Informatics
Volume: 38
Publisher: Elsevier
Uncontrolled Keywords: Scan-to-BIM, Collaboration, Mobile devices, Google Tango, Building Information Modeling, Industry Foundation Classes
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute of Numerical Methods and Informatics in Civil Engineering
Date Deposited: 14 Dec 2018 09:50
DOI: 10.1016/j.aei.2018.08.012
Official URL: http://www.sciencedirect.com/science/article/pii/S1474034617...
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