Augmentation of Road Surfaces with Subsurface Utility Model Projections

Cote, Stephans; R.-Mercier, Alexandra

doi:10.1109/vr.2018.8446545

Cited by 11 publications

(2 citation statements)

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“…Tarek and Marzouk [28] developed a smartphone AR application to visualize infrastructure networks, thereby improving infrastructure operation and maintenance workflows. An application using a Microsoft HoloLens headset was proposed by Côté and Mercier [29] to visualize pipe maps on the road surface. Rahman, et al [30] developed an integrated framework comprising machine learning (ML), sensor data, and AR techniques to manage a prawn farm.…”

Section: Literature Reviewmentioning

confidence: 99%

Utilization of Augmented Reality Technique for Sewer Condition Visualization

Nguyen,

Bui,

Seidu

2023

Water

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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.

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Section: Literature Reviewmentioning

confidence: 99%

Utilization of Augmented Reality Technique for Sewer Condition Visualization

Nguyen,

Bui,

Seidu

2023

Water

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“…For example, early AR researchers developed systems to display buried utility networks for above-ground users to see ( 22 ). A proposed AR method for pipe map projection can augment road surfaces with subsurface utility pipes, offering an improved level of accuracy and a stable alternative to using pipe maps on site ( 23 ). Additionally, other studies explored AR for mapping underground utilities using a mobile device by developing an integrated AR-GIS for scanning and capturing underground utilities ( 24 ).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Discovering Factors that Influence the Use of Augmented Reality for Communication on Active Highway Construction Sites

Kassis

Ayer

Asmar

et al. 2022

Transportation Research Record: Journal of the Transportation R

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The construction industry requires effective communication between project stakeholders in various locations. This communication can be facilitated by in-person site visits or phone calls. However, these methods can lead to wasted travel time or the omission of critical visual site details, respectively. In theory, augmented reality (AR) can support consistent understandings of site environments in a similar way to in-person visits but with the efficiency of phone calls. However, most studies exploring AR for communication in construction have done so in controlled environments. This work investigates the efficacy of AR calls in uncontrolled settings (i.e., active construction sites) by interviewing and recording practitioners who are using AR, to identify behaviors and perceptions that influence communication efficiency and effectiveness. The authors conducted qualitative analyses and identified 14 factors that can affect information exchanges between professionals using AR. The factors found in this study include: virtual manipulation; visual aids; shared action plan; hands-free operation; decision-making; site interaction; working remotely; repetition; locomotion; performing different job types; device discomfort; background noise; lighting conditions; and disconnection in hardware physical and feature components. Some factors represent beneficial opportunities for AR, while others pose challenges. Some of the identified challenges may be resolved through technological innovations and user training, as discussed in the paper. Furthermore, this work provides evidence of factors for which current AR technologies are sufficiently developed to guide near-term implementation in practice.

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