3D Approach for Representing Uncertainties of Underground Utility Data

Léon Luc olde Scholtenhuis, S. Zlatanova, Xander den Duijn

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Availability of 3D underground information models is key to designing and managing urban infrastructure construction projects. Buried utilities information is often registered by using different types of location data with different uncertainties. These data variances are, however, not considered in many existing visualization approaches. This study, therefore, aims to enable 3D-representation of uncertainties in underground utility data. To this end, the research team identified four different location parameters (unknown, standard, estimated, surveyed location), and explored how these could be integrated into models that visualize utilities in 3D. As proof of concept, we developed a first 3D uncertainty model for an urban road intersection and implemented this in a handheld augmented reality application. As a next step, we designed an improved 3D visualization model that incorporates standard, estimated, and surveyed location data to estimate utility locations, and to generate cylinder shapes that represent the uncertainty buffer around a visualized utility. The presented approach eventually allows city engineers to better estimate design and construction workspaces. We conclude the paper by elaborating both the contributions and consecutive research steps.
Original languageEnglish
Title of host publicationComputing in Civil Engineering 2017: Information Modeling and Data Analytics
EditorsKen-Yu Lin, Nora El-Gohary, Pingbo Tang
Place of PublicationSeattle, Washington
PublisherAmerican Society of Civil Engineers
Pages369-376
Number of pages8
Volume2017
ISBN (Electronic)9780784480823
Publication statusPublished - Jun 2017

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Visualization
Augmented reality
Uncertainty
Availability
Engineers

Cite this

olde Scholtenhuis, L. L., Zlatanova, S., & den Duijn, X. (2017). 3D Approach for Representing Uncertainties of Underground Utility Data. In K-Y. Lin, N. El-Gohary, & P. Tang (Eds.), Computing in Civil Engineering 2017: Information Modeling and Data Analytics (Vol. 2017, pp. 369-376). Seattle, Washington: American Society of Civil Engineers.
olde Scholtenhuis, Léon Luc ; Zlatanova, S. ; den Duijn, Xander. / 3D Approach for Representing Uncertainties of Underground Utility Data. Computing in Civil Engineering 2017: Information Modeling and Data Analytics. editor / Ken-Yu Lin ; Nora El-Gohary ; Pingbo Tang. Vol. 2017 Seattle, Washington : American Society of Civil Engineers, 2017. pp. 369-376
@inproceedings{ed433bc13f244f3193489b598816a7e1,
title = "3D Approach for Representing Uncertainties of Underground Utility Data",
abstract = "Availability of 3D underground information models is key to designing and managing urban infrastructure construction projects. Buried utilities information is often registered by using different types of location data with different uncertainties. These data variances are, however, not considered in many existing visualization approaches. This study, therefore, aims to enable 3D-representation of uncertainties in underground utility data. To this end, the research team identified four different location parameters (unknown, standard, estimated, surveyed location), and explored how these could be integrated into models that visualize utilities in 3D. As proof of concept, we developed a first 3D uncertainty model for an urban road intersection and implemented this in a handheld augmented reality application. As a next step, we designed an improved 3D visualization model that incorporates standard, estimated, and surveyed location data to estimate utility locations, and to generate cylinder shapes that represent the uncertainty buffer around a visualized utility. The presented approach eventually allows city engineers to better estimate design and construction workspaces. We conclude the paper by elaborating both the contributions and consecutive research steps.",
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olde Scholtenhuis, LL, Zlatanova, S & den Duijn, X 2017, 3D Approach for Representing Uncertainties of Underground Utility Data. in K-Y Lin, N El-Gohary & P Tang (eds), Computing in Civil Engineering 2017: Information Modeling and Data Analytics. vol. 2017, American Society of Civil Engineers, Seattle, Washington, pp. 369-376.

3D Approach for Representing Uncertainties of Underground Utility Data. / olde Scholtenhuis, Léon Luc; Zlatanova, S.; den Duijn, Xander.

Computing in Civil Engineering 2017: Information Modeling and Data Analytics. ed. / Ken-Yu Lin; Nora El-Gohary; Pingbo Tang. Vol. 2017 Seattle, Washington : American Society of Civil Engineers, 2017. p. 369-376.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - 3D Approach for Representing Uncertainties of Underground Utility Data

AU - olde Scholtenhuis, Léon Luc

AU - Zlatanova, S.

AU - den Duijn, Xander

PY - 2017/6

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N2 - Availability of 3D underground information models is key to designing and managing urban infrastructure construction projects. Buried utilities information is often registered by using different types of location data with different uncertainties. These data variances are, however, not considered in many existing visualization approaches. This study, therefore, aims to enable 3D-representation of uncertainties in underground utility data. To this end, the research team identified four different location parameters (unknown, standard, estimated, surveyed location), and explored how these could be integrated into models that visualize utilities in 3D. As proof of concept, we developed a first 3D uncertainty model for an urban road intersection and implemented this in a handheld augmented reality application. As a next step, we designed an improved 3D visualization model that incorporates standard, estimated, and surveyed location data to estimate utility locations, and to generate cylinder shapes that represent the uncertainty buffer around a visualized utility. The presented approach eventually allows city engineers to better estimate design and construction workspaces. We conclude the paper by elaborating both the contributions and consecutive research steps.

AB - Availability of 3D underground information models is key to designing and managing urban infrastructure construction projects. Buried utilities information is often registered by using different types of location data with different uncertainties. These data variances are, however, not considered in many existing visualization approaches. This study, therefore, aims to enable 3D-representation of uncertainties in underground utility data. To this end, the research team identified four different location parameters (unknown, standard, estimated, surveyed location), and explored how these could be integrated into models that visualize utilities in 3D. As proof of concept, we developed a first 3D uncertainty model for an urban road intersection and implemented this in a handheld augmented reality application. As a next step, we designed an improved 3D visualization model that incorporates standard, estimated, and surveyed location data to estimate utility locations, and to generate cylinder shapes that represent the uncertainty buffer around a visualized utility. The presented approach eventually allows city engineers to better estimate design and construction workspaces. We conclude the paper by elaborating both the contributions and consecutive research steps.

M3 - Conference contribution

VL - 2017

SP - 369

EP - 376

BT - Computing in Civil Engineering 2017: Information Modeling and Data Analytics

A2 - Lin, Ken-Yu

A2 - El-Gohary, Nora

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olde Scholtenhuis LL, Zlatanova S, den Duijn X. 3D Approach for Representing Uncertainties of Underground Utility Data. In Lin K-Y, El-Gohary N, Tang P, editors, Computing in Civil Engineering 2017: Information Modeling and Data Analytics. Vol. 2017. Seattle, Washington: American Society of Civil Engineers. 2017. p. 369-376