munich - MSc Topics
![Aggregation of building footprints](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/mapGen2.png?itok=BHIm_tcX)
To learn a map generalization model for building footprint simplification and aggregation with deep learning, and to proper encode and learn polygon geometries
![Smart City Dashboard Amsterdam ©Geodan](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/dashboard1.png?itok=8m2nsWjE)
develop conceptual models and practical examples for the implementation of a City Energy Performance Dashboard in the contextual background of energy transition
![Classified LiDAR Point Clouds are challenging to read; Credits: LiangDao](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/pointclouds2.png?itok=R-MvNWCx)
The goal of this thesis is to establish a visualization pipeline for pre-classified point clouds in order to make visual representations of LiDAR data easily un
![Cartography in the 21st century | CNN, Courtesy Ethel M. Fair Collection (246), Geography and Map Division, Library of Congress](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/kumke2.jpg?itok=RSxXci1b)
In this topic, the possibilities and limitations of the influence of new AI solutions will be examined and researched in order to support and promote cartograph
![](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/slum2.png?itok=91eJBSlv)
The goal of this thesis is to develop a spatial mapping approach for slums toward SDG 11 using urban morphology and topology technique.
![Mixed-reality based labelling.](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/LabelPlacement2.jpg?itok=dJVWZdkp)
The goal of this thesis is to investigate the impact of label placement in mixed reality environments, identifying optimal strategies that enhance spatial knowl
![Visual objects for indoor spatial learning in mixed reality (credit: Liu et al., 2021).](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/spatialLearning2.png?itok=qBs_F8TD)
The goal of this thesis is to quantify the perceived complexity and cognitive load caused by virtual symbol and label density and evaluate their influence on th
![Pine Forest under drought Stress condition](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/Picture%202_36.png?itok=CCCUL5gx)
To develop interactive maps at different scales (spatial, temporal, and spectral) highlighting the condition and the factors that produce stress in plants resul
![Active Mobility © so-cycling.nl](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/activemobility.jpg?itok=ZyfKeskZ)
The goal of this thesis is to explore and identify the risk factors of active mobility in urban environments with multi-source data, extract the knowledge there
![Editing interface of OpenStreetMap](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/OSM2.png?itok=ENQF8Hc7)
To analyze user editing patterns, e.g., user focus of geospatial extent, editing frequency.
![](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/segmentation2.png?itok=YG-FvRvw)
Develop and evaluate an instance segmentation approach for the extraction of area features from historical map scans and investigate the scalability.
![Should I turn before or after the next door?](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/Picture%202_2.png?itok=A-QK3Pze)
This thesis aims to incorporate visual effects to facilitate depth perception in Mixed Reality (MR).
![](https://gip.itc.utwente.nl/default/sites/default/files/styles/tiles/public/users/k%C3%B6bben/snow2.png?itok=2OHzDltO)
To develop a semi-automatic mapping tool able to calculate the snow cover fraction area at a small scale.