Combining Reality Capture and Augmented Reality to Visualise Subsurface Utilities in the Field

Hansen, Lasse Hedegaard; Wyke, Simon Christian Swanström; Kjems, Erik

doi:10.22260/isarc2020/0098

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…In [117], a rendering pipeline utilising back-projection of air-coupled 3D multistatic GPR data and Jerman Enhancement Filtering is presented but lacks an interface. Contrastingly, [249] demonstrates a prototype Unity3D-built AR pavement-subsurface visualiser for IOS based on 'Reality-Capture' modelling. However, performance of all subsurface AR inspection tools found appears unstudied in real railway tunnels.…”

Section: Extended Reality For Dynamic Survey Interactionmentioning

confidence: 99%

Developments in 3D Visualisation of the Rail Tunnel Subsurface for Inspection and Monitoring

2022

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Railway Tunnel SubSurface Inspection (RTSSI) is essential for targeted structural maintenance. ‘Effective’ detection, localisation and characterisation of fully concealed features (i.e., assets, defects) is the primary challenge faced by RTSSI engineers, particularly in historic masonry tunnels. Clear conveyance and communication of gathered information to end-users poses the less frequently considered secondary challenge. The purpose of this review is to establish the current state of the art in RTSSI data acquisition and information conveyance schemes, in turn formalising exactly what constitutes an ‘effective’ RTSSI visualisation framework. From this knowledge gaps, trends in leading RTSSI research and opportunities for future development are explored. Literary analysis of over 300 resources (identified using the 360-degree search method) informs data acquisition system operation principles, common strengths and limitations, alongside leading studies and commercial tools. Similar rigor is adopted to appraise leading information conveyance schemes. This provides a comprehensive whilst critical review of present research and future development opportunities within the field. This review highlights common shortcomings shared by multiple methods for RTSSI, which are used to formulate robust criteria for a contextually ‘effective’ visualisation framework. Although no current process is deemed fully effective; a feasible hybridised framework capable of meeting all stipulated criteria is proposed based on identified future research avenues. Scope for novel analysis of helical point cloud subsurface datasets obtained by a new rotating ground penetrating radar antenna is of notable interest.

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Section: Extended Reality For Dynamic Survey Interactionmentioning

confidence: 99%

Developments in 3D Visualisation of the Rail Tunnel Subsurface for Inspection and Monitoring

2022

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“…Therefore, a solution that addresses both challenges has been explored; an AR approach relying on using accurate as-built 3D capture utility data as visualization source as shown in figure 1.5 (bottom). A smartphone-based Reality Capture solution (using photogrammetry) was used to generate geometrical detailed and precisely geo-referenced 3D point clouds of as-built utility work (Hansen, Pedersen, Kjems, & Wyke, 2021) that is then later visualized in AR to present a far more accurate and realistically looking visualization than otherwise seen in current AR solutions at the time Hansen, Fleck, Stranner, ; Hedegaard Hansen, Swanström Wyke, and Kjems (2020). Notice the intentional phrasing at the time, as some commercial AR solutions have now picked up on this AR use case.…”

Section: Preventing Utility Excavation Damagesmentioning

confidence: 99%

“…An example of this is visually illustrated in figure 4. Based on the utility companies experience this was a common scenario as "soft" cable records are often lacking accuracy and completeness (Hansen et al, 2020b). Another common example is shown in figure 5.…”

Section: Cases Of Potential Utility Data Sourcesmentioning

confidence: 99%

Augmented Reality for Subsurface Utility Engineering: Exploring and developing 3D capture and AR visualization methods for subsurface utilities

Hansen¹

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On-site planning and excavation of underground infrastructure requires easy access to reliable and accurate subsurface utility records to ensure an informed decision-making foundation. Augmented Reality (AR) is a technology that enables displaying relevant information on site and provides comprehensible visualizations of complex data. Easy-to-use 3D capturing technology can be used for 3D documenting subsurface utilities generating 3D point clouds that delivers a far more informed data foundation when trying to locate the spatial placement of subsurface utilities than compared to conventional utility map data.In this thesis new methods for combining both technologies were explored and developed to provide informed decision-making visualization for utility owners and contractors when planning and managing underground infrastructure projects. That included an AR visualization method for displaying 3D capture data of underground infrastructure for supporting subsurface utility engineering on site. The method was implemented in an outdoor AR prototype system capable of accurate and robust in-situ visualization of 3D capture data with close alignment to the real surroundings. Overall, the AR system and visualization method provided a comprehensible visualization that was greatly appreciated by the interviewed contractors and utility owners. Furthermore, the AR visualization provided a clear understanding of the positional placement of the utilities as well as providing enough realism and detail to identify the type of utilities and material properties.Another AR visualization method was also developed, however, this time using conventional utility map data as visualization source as this data type is often the only available data source when planning for utility work. The method focused on visualizing the utility data as virtual utility markings providing close and seamless blending with the ground surface as well as adaptiii ing real utility marking design schemes from industry guidelines. The visualization method provided a clear overview of the map-based utility records as the virtual utility markings was easy to comprehend when visualized on the ground surface.The AR visualization methods presented in this PhD thesis were evaluated on real industry end-users through hands-on demonstration and semi-structured interviewing. The overall response was that these AR visualizations methods would be extremely useful for avoiding excavation damage and generally also help ease the on-site planning process for underground infrastructure work. This was especially true since one of the major issues regarding excavation damages was caused by inaccurate and incomplete utility records according to the majority of the interviewed respondents. v de virtuelle ledningsafmaerkninger var nemme at forstå, når de blev visualiseret direkte på jordoverfladen.Begge AR-visualiseringsmetoder blev evalueret på industri slutbrugere fra anlaegsbranchen gennem fremvisning og afprøvning af AR-prototypen samt efterfølgende semi-struktureret intervi...

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Integration of Building Information Modeling, Geographic Information System, and Augmented Reality for Visualization and Management of Multiple Underground Utilities

Rajadurai,

Vilventhan

2025

J. Pipeline Syst. Eng. Pract.

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Combining Reality Capture and Augmented Reality to Visualise Subsurface Utilities in the Field

Cited by 5 publications

References 11 publications

Developments in 3D Visualisation of the Rail Tunnel Subsurface for Inspection and Monitoring

Developments in 3D Visualisation of the Rail Tunnel Subsurface for Inspection and Monitoring

Augmented Reality for Subsurface Utility Engineering: Exploring and developing 3D capture and AR visualization methods for subsurface utilities

Integration of Building Information Modeling, Geographic Information System, and Augmented Reality for Visualization and Management of Multiple Underground Utilities

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