Augmented reality for next generation infrastructure inspections
Auteur(s): |
David DL Mascareñas
JoAnn P. Ballor Oscar L. McClain Miranda A. Mellor Chih-Yu Shen Brian Bleck John Morales Li-Ming R. Yeong Benjamin Narushof Philo Shelton Eric Martinez Yongchao Yang Alessandro Cattaneo Troy A. Harden Fernando Moreu |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, avril 2021, n. 4, v. 20 |
Page(s): | 147592172095384 |
DOI: | 10.1177/1475921720953846 |
Abstrait: |
This article introduces the use of emerging augmented reality technology to enable the next generation of structural infrastructure inspection and awareness. This work is driven by the prevalence of visual structural inspection. It is known that current visual inspection techniques have multiple sources of variance that should be reduced in order to achieve less ambiguous visual inspections. Emerging augmented reality tools feature a variety of sensors, computation, and communication resources that can enable relevant structural inspection data to be collected at very high resolution in an unambiguous manner. This work shows how emerging augmented reality tools can be used to greatly enhance our ability to capture comprehensive, high-resolution, three-dimensional measurements of critical infrastructure. This work also provides detailed information on the software architecture for augmented reality structural inspection applications that helps meet the goals of the framework. The fact that the framework is designed to accommodate the considerations associated with high-consequence infrastructure implies that it is also comprehensive enough to be applied to less hazardous but still high-value infrastructure such as bridges, dams, and tunnels. Augmented reality has great potential to enable the next generation of smart infrastructure, and this work focuses on addressing how augmented reality can be leveraged to enable the next generation of structural awareness for high-consequence, long-lifespan structures. |
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sur cette fiche - Reference-ID
10562517 - Publié(e) le:
11.02.2021 - Modifié(e) le:
09.07.2021