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5 Drienerlolaan
Enschede, Overste, 7522 NB

Zorgvuldige Ondergrondse Aanleg en Reductie Graafschade

Project Plan

Spy Underground

Project Plan

Léon olde Scholtenhuis

Project duration: Jan 2016 - Mar 2017

Project team:

Xander den Duijn – MSc. Student Geomatics for the Built Environment (TU Delft)

Anna-Maria Ntarladima – MSc. Student Geomatics for the Built Environment (TU Delft)

Vangelis Theocharous – MSc. Student Geomatics for the Built Environment (TU Delft)

Dr. Ir. Léon olde Scholtenhuis (University of Twente)

Dr. Ir. Sisi Zlatanova (TU Delft)

In collaboration with:

Municipality of Rotterdam, Recognize B.V., 


Ir. Paul de Ruiter – Design Informatics (TU Delft)


The ambition of this project is to provide a solution to the varying levels of certainty of underground utility location information. To date, this ambiguity hampered registration of most 3D coordinates on maps. We therefore aim to extend 2D-CAD utility maps (KLIC-melding) with fuzzy 3D information about depth- and geometry of utilities, to achieve an enriched 3D view on the subsurface.

2D and 3D (fuzzy) visualisations of subsurface utilities

2D and 3D (fuzzy) visualisations of subsurface utilities

This information can include, for example, estimated depths; standard depths; and, actually measured depths . Figure 1 b & c visualize the anticipated product. To ensure that the model can be used by a broad group of users in the field, we have selected some Augmented Reality tools. These tools will be used to test the fuzzy visualization. The tangible deliverable of this study is therefore twofold: a framework to create a ‘fuzzy 3D map’ and a prototype advanced visualization environment, i.e. an Ipad application. When the concept has been proven successfully, we expect the tool to support site exploration, construction planning, and maintenance. The contractors can use the method and upscale the implementation of Augmented Reality with fuzzy 3D maps to support their work processes, and to teach residents and Civil Engineering students about the complexity of existing subsurface networks.