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- Title
Utilization of Augmented Reality Technique for Sewer Condition Visualization.
- Authors
Nguyen, Lam Van; Bui, Dieu Tien; Seidu, Razak
- Abstract
Wastewater pipelines are largely buried underground, and techniques for assessing and visualizing their condition are critical for planning and rehabilitation. This paper introduces a framework for integrating Geographic Information System (GIS), 3D-creation platform, augmented reality (AR) techniques, and machine learning algorithms for the dynamic visualization of the condition of sewer networks. A sewer network in Ålesund City, Norway, was used as a case study, and the developed framework was implemented on an Android OS and Microsoft HoloLens. The results show the potential applications of the integrated framework of GIS, AR, and 3D models for sewer condition visualization. The positioning accuracy of the application for 2D objects is equivalent to that of well-designed GPS receivers (approximately 1–3 m), depending on the handheld device used. Loading and locating 3D objects will be limited by the performance of the devices used.
- Subjects
NORWAY; DATA visualization; MACHINE learning; AUGMENTED reality; GEOGRAPHIC information systems; GPS receivers; COMBINED sewer overflows; SEWERAGE
- Publication
Water (20734441), 2023, Vol 15, Issue 24, p4232
- ISSN
2073-4441
- Publication type
Article
- DOI
10.3390/w15244232