Amin, K;
Mills, G;
Wilson, D;
(2023)
Key functions in BIM-based AR platforms.
Automation in Construction
, 150
, Article 104816. 10.1016/j.autcon.2023.104816.
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Abstract
The integration of Augmented Reality and Building Information Modelling is a promising area of research; however, fragmentation in literature hinders the development of mature BIM-based AR platforms. This paper aims to minimise the fragmentation in the literature by identifying the key functions that represent the essential capabilities of BIM-AR platforms. A systematic literature review is employed to identify, categorise, and discuss the key functions. The outcome of this paper identifies six key functions: positioning (P), interaction (I), visualisation (V), collaboration (C), automation (A), and integration (T). These key functions act as the foundation for an evaluation framework that can assist practitioners, developers, and researchers with assessing the requirements of the targeted application area, and hence be better informed on the appropriate devices, software, and techniques to use. Finally, this paper emphasises the importance of industrial-academic collaboration in BIM-AR research and suggests prospects for automation through the application of artificial intelligence.
| Type: | Article |
|---|---|
| Title: | Key functions in BIM-based AR platforms |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.autcon.2023.104816 |
| Publisher version: | https://doi.org/10.1016/j.autcon.2023.104816 |
| Language: | English |
| Additional information: | © 2023 Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Building information modelling, Augmented reality, Systematic review |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10166567 |
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