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Thomas H. Kolbe

Full Professor

Ludwig-Maximilians-Universität München

Germany

Research Interests

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Professors in Germany

About

Thomas H. Kolbe is a Full Professor at Technische Universität München, Germany. His research areas include semantic 3D city models, life cycle assessment of building energy systems, and curbside management, as evidenced by his recent articles. He explores various applications of semantic modeling and emphasizes the integration of heterogeneous information models in urban planning and development.

Articles (13)

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2026

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2026

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2020

Collaborators (8)

Christoph Holst

Full Professor and Head of Chair

Technical University of Munich

GERMANY

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Christof Beil

Technical University of Munich

GERMANY

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Werner Lang

Prof. Dr.-Ing.

Technical University of Munich

GERMANY

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Silvia María González-Collazo

Universidade de Vigo

SPAIN

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Ziyang Xu

Research Associate

Technical University of Munich

GERMANY

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André Borrmann

Full Professor

Technical University of Munich

GERMANY

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Jesus Balado Frias

Investigador posdoctoral RYC

Universidade de Vigo

SPAIN

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Sebastian Krapf

Technical University of Munich

GERMANY

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Thomas H. Kolbe

Research Interests

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Articles (13)

L2M-Reg: Building-level uncertainty-aware registration of outdoor LiDAR point clouds and semantic 3D city models

Radiometric fingerprinting of object surfaces using mobile laser scanning and semantic 3D road space models

Automatic alignment of semantic building models with digital city models through multi-level point cloud semantic segmentation and registration using PSO optimization: A case study of the TUM main campus

Curbside management from MLS and HMLS point clouds to CityGML 3.0

Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead

Climate-neutral municipal building stock - life cycle assessment of large residential building stocks based on semantic 3D city models

Life Cycle Assessment of building energy systems on neighbourhood level based on semantic 3D city models

Improving Semantic Segmentation of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery

Analyzing Contextual Linking of Heterogeneous Information Models from the Domains BIM and UIM

Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model

Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems

CityGML 3.0: New Functions Open Up New Applications

Towards a distributed digital twin of the agricultural landscape

Collaborators (8)

Christoph Holst

Christof Beil

Werner Lang

Silvia María González-Collazo

Ziyang Xu

André Borrmann

Jesus Balado Frias

Sebastian Krapf

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