Real-time collaborative reconstruction of digital building models with mobile devices |
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| Affiliation: | 1. Dept. of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman;2. Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB T6G 2G2, Canada;1. Dept. of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada;2. Dept. of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada;3. Northwestern University, United States;1. Chair of Computational Modeling and Simulation, Leonhard Obermeyer Center of Digital Methods for the Built Environment, Technische Universität München, Arcisstraße 21, 80290 Munich, Germany;2. Chair of Computation in Engineering, Leonhard Obermeyer Center of Digital Methods for the Built Environment, Technische Universität München, Arcisstraße 21, 80290 Munich, Germany;1. Department of Mechanical Engineering, University of Alberta, Edmonton, Canada;2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;3. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China |
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| 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. |
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| Keywords: | Scan-to-BIM Collaboration Mobile devices Google Tango Building Information Modeling Industry Foundation Classes |
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