3D Approach for Representing Uncertainties of Underground Utility Data

Scholtenhuis, Léon Luc olde; Zlatanova, Sisi; Duijn, Xander den

doi:10.1061/9780784480823.044

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…Three other studies require expert input (cf. [35]) and probability distributions data (cf. [33,34]) to visualize a 3D-uncertainty shape for a single dataset.…”

Section: Discussionmentioning

confidence: 99%

“…Others proposed a theoretical probabilistic 3D-line visualization method [33] and introduced a probabilistic model for 3D uncertainty representation of (only) ground penetrating radar measurements [34]. Another study displayed uncertainties in an Augmented Reality application by simply defining three bounding cylinder shapes of a fixed (small, medium or large) radius [35]. Users could select one of these sizes to visualize either a small, medium or large bounding cylinder around a utility's center line.…”

Section: D Utility Modelingmentioning

confidence: 99%

“…They either require that experts define a size of uncertainty bounding cylinders themselves (cf. [35]) or provide probability distributions for the uncertainty in the utility line dataset (cf. [33,34]).…”

Section: D Utility Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Representing geographical uncertainties of utility location data in 3D

Scholtenhuis

Duijn²,

Zlatanova

2018

Automation in Construction

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“…Three other studies require expert input (cf. [35]) and probability distributions data (cf. [33,34]) to visualize a 3D-uncertainty shape for a single dataset.…”

Section: Discussionmentioning

confidence: 99%

Section: D Utility Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Representing geographical uncertainties of utility location data in 3D

Scholtenhuis

Duijn²,

Zlatanova

2018

Automation in Construction

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The C2G Framework to Convert Infrastructure Data from Computer-Aided Design (CAD) to Geographic Information Systems (GIS)

et al. 2022

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Making smart and informed decisions often requires the integration and analysis of large amounts of data. However, integrating these data is rarely straightforward, mainly because of heterogeneities in data structure and format. In this study, we focus on two widely used data formats by municipalities to store digital maps of their infrastructure: Computer-Aided Design (CAD) and Geographic Information Systems (GIS). While most municipalities still maintain infrastructure data in CAD format, many have started converting them to GIS since GIS includes geographical coordinates. However, the inherent differences between these two formats pose challenges to accurately converting information from CAD to GIS. The main goal of this study is to develop a procedure to help municipalities to perform CAD-to-GIS conversion. To that end, potential problems in CAD-to-GIS conversion were first identified through interviews with practitioners at different U.S. municipalities and through a literature review. Taken together, we propose the C2G framework to streamline the conversion process while minimizing information loss. The framework consists of five stages, and the execution of this framework and tasks involved in each stage are explained. Moreover, we apply the framework to real-world underground stormwater infrastructure data obtained from the University of Illinois at Chicago (UIC) to illustrate the framework’s applicability. The case study explains details about the technical difficulties we encountered in the process and provides recommendations to circumvent those difficulties. The results from the case study showed that the C2G framework was able to successfully convert CAD data to GIS data. Although the framework is developed specific to the needs of CAD/GIS practitioners in the US municipalities, it can be adopted in most CAD-to-GIS conversion situations. The information learned during the interviews supports the need for a standard CAD-to-GIS conversion process. The contribution of this study is to fill this gap by developing a generalized framework to carry out CAD-to-GIS conversion which only requires basic knowledge of CAD and GIS.

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3D Approach for Representing Uncertainties of Underground Utility Data

Cited by 2 publications

References 8 publications

Representing geographical uncertainties of utility location data in 3D

Representing geographical uncertainties of utility location data in 3D

The C2G Framework to Convert Infrastructure Data from Computer-Aided Design (CAD) to Geographic Information Systems (GIS)

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