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Article

Digital Modelling of Underground Volumes, Including the Visualization of Confidence Levels for the Positioning of Subsurface Objects

HEPIA, inPACT Institute, HES-SO University of Applied Sciences and Arts Western Switzerland, 1202 Geneva, Switzerland
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Author to whom correspondence should be addressed.
Academic Editor: Inhan Kim
Appl. Sci. 2021, 11(8), 3483; https://doi.org/10.3390/app11083483
Received: 5 February 2021 / Revised: 1 April 2021 / Accepted: 5 April 2021 / Published: 13 April 2021
(This article belongs to the Special Issue BIM and Its Integration with Emerging Technologies)
This paper addresses the issue of offering a consistent 3D visual rendering of subsurface objects when databases face non-completion. Digital modelling of subsurface objects, like utility lines, underground buildings or tree roots, is a difficult task. Data available are incomplete and not precise. The in situ acquisition of existing objects to increase data quality is complex and, therefore, costly. In this paper, a methodology to obtain missing spatial and geometrical data through field or empirical means is proposed. In addition, confidence levels are assigned to existing and derived spatial and geometrical attributes. They are consolidated on a class level and visualized through a bounding shape, called secondary object. View Full-Text
Keywords: uncertainty modelling; automation; confidence; bounding boxes; intelligent data completion uncertainty modelling; automation; confidence; bounding boxes; intelligent data completion
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MDPI and ACS Style

Adouane, K.; Boujon, F.; Domer, B. Digital Modelling of Underground Volumes, Including the Visualization of Confidence Levels for the Positioning of Subsurface Objects. Appl. Sci. 2021, 11, 3483. https://doi.org/10.3390/app11083483

AMA Style

Adouane K, Boujon F, Domer B. Digital Modelling of Underground Volumes, Including the Visualization of Confidence Levels for the Positioning of Subsurface Objects. Applied Sciences. 2021; 11(8):3483. https://doi.org/10.3390/app11083483

Chicago/Turabian Style

Adouane, Kamel, Fabian Boujon, and Bernd Domer. 2021. "Digital Modelling of Underground Volumes, Including the Visualization of Confidence Levels for the Positioning of Subsurface Objects" Applied Sciences 11, no. 8: 3483. https://doi.org/10.3390/app11083483

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