The DOI matches its Crossref record.
Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry
Open accessAbstract
Abstract The extent of effectiveness of real-time communication within BIM environment is somehow restrained due to the limited sense of immersion into virtual environments. The objective of this paper highlights the need for a structured methodology of fully integrating Augmented Reality (AR) technology in BIM. Based on the generic review of BIM in construction, this paper forms the rationales for the onsite information system for construction site activities, and then formulates the methods of configuring BIM + AR prototypes. It is demonstrated that, extended to the site via the “hand” of AR, the BIM solution can address more real problems, such as low productivity in retrieving information, tendency of committing error in assembly, and low efficiency of communication and problem solving.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Pan, Y., & Zhang, L. (2021) · Automation in Construction · doi:10.1016/j.autcon.2020.103517 · Cited by 1,336
From BIM to extended reality in AEC industry
Alizadehsalehi, S., Hadavi, A., & Huang, J. C. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103254 · Cited by 469
Liu, X., Wang, X., Wright, G., Cheng, J., Li, X., & Liu, R. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6020053 · Cited by 398
Self-citationA mixed review of the adoption of Building Information Modelling (BIM) for sustainability
Chong, H.-Y., Lee, C.-Y., & Wang, X. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.09.222 · Cited by 371
Self-citationConstruction 4.0: A Literature Review
Forcael, E., Ferrari, I., Opazo-Vega, A., & Pulido-Arcas, J. A. (2020) · Sustainability · doi:10.3390/su12229755 · Cited by 319
Metadata
- Authors
- Wang, X., Truijens, M., Hou, L., Wang, Y., & Zhou, Y.
- Venue
- Automation in Construction
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 40
- Pages
- 96-105
- ISSN
- 0926-5805 (ISSN-L)
- OpenAlex
- W2050988395
- Cited by
- 242
- References
- 0
- FWCI
- 25.00
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry. https://app.cochat.ai/papers/10.1016/j.autcon.2013.12.003
- The paper
- Wang, X., Truijens, M., Hou, L., Wang, Y., & Zhou, Y. (2014). Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry. Automation in Construction. https://doi.org/10.1016/j.autcon.2013.12.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
