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Technical University of Munich

Jakob Hummelsberger, M. Sc.

Picture of Jakob Hummelsberger

Jakob Hummelsberger, M.Sc.

Technical University of Munich

Lehrstuhl für Ingenieurgeodäsie (Prof. Holst)

Postal address

Arcisstr. 21
80333 München

Personal Profiles

LinkedIn: https://www.linkedin.com/in/jakob-hummelsberger/
ResearchGate: https://www.researchgate.net/profile/Jakob-Hummelsberger
Google Scholar: https://scholar.google.com/citations?user=HBXbIDcAAAAJ&hl
ORCID: https://orcid.org/0009-0005-9842-135X

Education

2020.10 - 2023.11Geodesy and Geoinformation, Technical University of Munich
Bachelors program
 Bachelor's Thesis: Vergleich von MEMS-LiDAR Sensoren
2023.10 - 2025.12Geodesy and Geoinformation, Technical University of Munich
Specialization: Engineering Geodesy, Navigation and GNSS, Space Geodetic Techniques
Masters program
 Master's Thesis: Strategies for Quantification of Angular Variances of Terrestrial Laser Scanners

Professional Experience

2026.01 - present

Chair of Engineering Geodesy, Technical University of Munich.

Scientific Assistant

Fields of Interest

  • Accuracy analysis of terrestrial laser scanner

Publications

2026

  • Hosseini, Kourosh; Zubareva, Svetlana; Hummelsberger, Jakob; Holst, Christoph: Improved 4D feature-based deformation tracking for high-resolution real-time landslide and slope deformation monitoring based on terrestrial laser scanning. Natural Hazards 122 (5), 2026 more… BibTeX
  • Hummelsberger, Jakob; AbdelGafar, Omar; Lichti, Derek; Holst, Christoph: Methodological framework for determining vertical angular variances of terrestrial laser scanners. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences XI-1-2026, 2026, 363-371 more… BibTeX

2025

  • Hosseini, Kourosh; Hummelsberger, Jakob; Zubareva, Svetlana; Holst, Christoph: Contour line extraction and feature tracking for real-time 4D landslide monitoring based on point clouds: Proof of concept with lab experiments. 6th Joint International Symposium on Deformation Monitoring (JISDM), 2025 more… BibTeX

2024

  • Hosseini, Kourosh; Hummelsberger, Jakob; Czerwonka-Schröder, Daniel; Holst, Christoph: Enhancing 3D Feature-based Landslide Monitoring Efficiency by Integrating Contour Lines in Laser Scanner Point Clouds. EGU General Assembly 2024, EGU24-5670, 2024 more… BibTeX
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