2022
DOI: 10.1016/j.aei.2021.101498
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A review of augmented reality visualization methods for subsurface utilities

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Cited by 21 publications
(10 citation statements)
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“…As a result, the concept of object-oriented development is rapidly replacing traditional GIS development methods. The interesting component of spatial data is that they should be maintained in a spatial database system, where object relational databases are preferable to relational databases (Nguyen-Gia et al, 2017).…”
Section: Previous Work On 3d Spatial Data Modelsmentioning
confidence: 99%
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“…As a result, the concept of object-oriented development is rapidly replacing traditional GIS development methods. The interesting component of spatial data is that they should be maintained in a spatial database system, where object relational databases are preferable to relational databases (Nguyen-Gia et al, 2017).…”
Section: Previous Work On 3d Spatial Data Modelsmentioning
confidence: 99%
“…It is crucial to have suitable methods for standardizing and structuring the storage of such sets of 3D spatial data models. Interoperability is at the heart of standards, which appear when many organizations need the same data format to address an issue and give instructions on how to check that the data are appropriately formatted for exchange (Liao, 2020;Muthalif et al, 2022). According to Chaturvedi et al (2019), the use of free, open, and global standards such as those offered by the Open Geospatial Consortium helps promote interoperability (OGC).…”
Section: Standards and Data Formatsmentioning
confidence: 99%
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“…In particular, there are several methods to display concealed utilities in AR/MR, which mainly differ in how they provide the perception of depth of the virtual object in relation to the viewer, and therefore in how accurate and intuitive the AR/MR scene is to the user. Muthalif et al [57] focused on the AR/MR visualization of underground pipe utilities and investigated six main display techniques, namely X-ray view, topographic view, shadow view, image rendering, transparent view, and cross-sectional view.…”
Section: Ar and Mr Technologiesmentioning
confidence: 99%