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Author

Matthias Betz

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Open access Sep 2026

A Data Model for Geometric, Semantic and Spatial Topology Validation of CityGML Datasets

3D city models are gaining importance across applications such as urban analytics and digital twins, where geometric and semantic data quality directly determine downstream usability. While tools for validating the geometric and semantic consistency of individual CityGML features already exist, support for validating t...

Luna Riegel, Matthias Betz, Volker Coors · 0 citations
Open access Sep 2026

Using AI to assign building archetypes to individual buildings for enhanced resolution and accuracy in urban digital twin applications

Urban digital twins benefit from granular, building-level data, yet classifying city quarters into meaningful typologies remains a challenge. This paper presents a machine learning-based approach to automatically assign a building archetype to individual buildings using 3D CityGML data including building functions as t...

Matthias Betz, Robert Otto, B. Schröter · 0 citations

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