3D Urban Understanding from Point Clouds

Doctoral Thesis (2026)
Author(s)

S. Du (TU Delft - Architecture and the Built Environment)

Contributor(s)

J.E. Stoter – Promotor (TU Delft - Architecture and the Built Environment)

J.F.P. Kooij – Promotor (TU Delft - Mechanical Engineering)

L. Nan – Copromotor (TU Delft - Architecture and the Built Environment)

Research Group
Urban Data Science
DOI related publication
https://doi.org/10.4233/uuid:bf100af7-caf5-4585-954c-af807ddf031e Final published version
More Info
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Publication Year
2026
Language
English
Defense Date
08-06-2026
Awarding Institution
Delft University of Technology
Research Group
Urban Data Science
ISBN (electronic)
978-94-6518-281-0
Downloads counter
37
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Abstract

Automated analysis and interpretation of 3D urban environments from laser-scanned point clouds has emerged as a critical research area with broad applications in urban planning, land administration, autonomous driving, and navigation. Despite remarkable progress in this field, researchers face two key challenges: (i) the comparatively slower advancement of methodologies for 3D point cloud analysis compared to 2D image-based techniques, and (ii) the difficulty of scaling these methods to large and complex real-world urban environments. This thesis addresses both aspects by exploring methodological innovations in 3D point cloud processing and investigating their applicability to large-scale urban settings, with an overall aim of supporting more robust and reliable interpretation of 3D urban scenes....

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