The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
From BIM to extended reality in AEC industry
Abstract
Abstract In the Architecture, Engineering, and Construction (AEC) industry, Extended Reality (XR) technologies that simulate a construction project in a multidimensional digital model and present multiple aspects of a project can be a tremendous help in all stages of a project. This study aims to identify the outsourcing patterns for such technologies among construction project stakeholders. Currently, there is limited literature about XR technologies, and because of it, the sections containing the results of this study are as follows: (1) a concise review of the most recent VR, AR, and MR technologies in the design and construction industry; (2) an introduction to the most commonly used wearable XRs on the market in terms of features, ease of use, and their specifications; (3) a summary of the different methods and software used for converting the BIM model to VR, AR, and MR; and (4) finally, a case study included the integrated definition function (IDEF0) model that details how to convert the BIM model of the NASA-Mars habitat project to a VR and MR model that uses Oculus Rift, HTC Vive, Samsung HMD, and Microsoft HoloLens headsets. Overall, this study provides a comprehensive review regarding using XR to solve a variety of construction project management issues effectively and efficiently. More importantly, this study provides a roadmap for future efforts involving the implementation of XR technologies in the AEC industry.
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Citations
Cites
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Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry
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A critical review of virtual and augmented reality (VR/AR) applications in construction safety
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Cited by
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
Pan, Y., & Zhang, L. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09830-8 · Cited by 441
Ali, S., Abdullah, Armand, T. P. T., Athar, A., Hussain, A., Ali, M., Yaseen, M., Joo, M.-I., & Kim, H.-C. (2023) · Sensors · doi:10.3390/s23020565 · Cited by 285
“The users’ real‑world views are strengthened by augmented reality (AR) with digital overlays that blend artificial objects.”
BackgroundLiterature review of digital twins applications in construction workforce safety
Hou, L., Wu, S., Zhang, G. (., Tan, Y., & Wang, X. (2020) · Applied Sciences · doi:10.3390/app11010339 · Cited by 194
Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges
Wang, S., Qureshi, M. A., Miralles-Pechuán, L., Huynh-The, T., Gadekallu, T. R., & Liyanage, M. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3386872 · Cited by 170
An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management
Yitmen, I., Alizadehsalehi, S., Akıner, İ., & Akıner, M. E. (2021) · Applied Sciences · doi:10.3390/app11094276 · Cited by 165
Self-citation
Metadata
- Authors
- Alizadehsalehi, S., Hadavi, A., & Huang, J. C.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 116
- Pages
- 103254
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W3025563460
- Cited by
- 469
- References
- 53
- FWCI
- 30.59
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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