Books and Papers

Perda, G.; Morelli, L.; Remondino, F.; Fraser, C.; Luhmann, T. (2024): Analyzing marker-based, handcrafted and learning-based methods for automated 3D measurement and modelling. Optical 3D Metrology Workshop, Brescia
Paulau, P.; Hurka, J.; Middelberg, J.; Koch, S. (2024): Centralised monitoring and control of buildings using open standards. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , doi: 10.5194/isprs-annals-X-4-W4-2024-169-2024 , Weblink
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024): CornerRegNet: Building Segmentation from Overhead Imagery Using Oriented Corners in Deep Networks. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Sieberth, T.; Meindl, Michael; Sagmeiser, Bernhard; Franckenberg, Sabine; Ptacek, Wolfgang (2024): Cost-effective 3D documentation device in forensic medicine. Forensic Science International , doi: https://doi.org/10.1016/j.forsciint.2024.112005
Sheikholeslami, Mohammad Moein; Kamran, Muhammad; Wichmann, Andreas; Sohn, Gunho (2024): Enhancing Polygonal Building Segmentation via Oriented Corners. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , doi: https://doi.org/10.48550/arXiv.2407.12256 , Weblink

Presentations

Luhmann, T. : A software-based concept for teaching photogrammetry. ISPRS GeoSpace, Kiev, Ukraine, Dezember 2017
Werner, T. : Management of spatio-temporal data for autonomous maritime systems. GeoIT.GISCO 2017, Berlin, Dezember 2017
Hastedt, H. : A medium format camera for high accuracy photogrammetry. 3D Metrologogy Conference - 3DMC Aachen, Oktober 2017
Chizhova, M. : Planning and execution of the LIDAR scanning project using Faro scanner. Special teach-time in Michigan Tech University, Houghton, USA, Oktober 2017
Luhmann, T. : Bildbasierte 3D-Oberflächenrekonstruktion – Möglichkeiten und Grenzen. Intergeo Berlin, September 2017

Projects

funded by: Niedersächsisches Vorab
The collection of the State Museum Nature and Man Oldenburg includes objects from natural history, archaeology and ethnology. Only a small proportion of the objects has been digitally acquired and made virtually accessible so far. Digitalisation (... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Simon Albers, M.Sc. (10.2022-03.2023) Paul Kalinowski, M.Sc.
funded by: Bundesministerium für Bildung und Forschung
A decarbonized heat supply in urban areas in the future poses a particular challenge. The technical focus on the system coupling of electricity and heat production to increase the share of renewable energies in the heat supply alone will not be suffi... more
people
Prof. Dr. Jürgen Knies (head) (03.2019-12.2019) Prof. Dr. Sascha Koch (head) (03.2020-) Sebastian Erdmann, M.Sc. (10.2020-07.2021) Marvin Schnabel, M.Sc. (01.2022-)
funded by: European Fonds for Regional Development (EFRE)
The aim of the collaborative project is the simultaneous geometric recording of turbulent wind flow fields (fluid behaviors) and deformations of rotor blade surfaces of wind energy systems. This helps to generate new knowledge about the influ... more
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Sinah Vogel (01.2021-04.2021) Dr. Ing. Thomas Willemsen (10.2018-06.2019) Simon Nietiedt, M.Sc. Annika Katrin Jepping, B.Sc. Martina Göring, M.Sc. Robin Rofallski, M.Sc.

Bachelor & Master Theses


Machbarkeitsstudie zum Deformationsmonitoring in Wiedervernässungsflächen unter Verwendung von RTK-basierter UAV-Photogrammetrie (2020/1)
Untersuchungen zur Eignung von visueller Inertial-Odometrie zur Vermessung von Hausanschlüssen am Beispiel der Lovion Measure App (2020/1)
Planung und Realisierung eines UAS-Vergleichspunktfeldes für Katasteranwendungen unter Einsatz einer DJI Phantom 4 RTK (2020/1)
Untersuchungen zur Ableitung von 3D-Informationen mittels Fusion von Thermal- und Farbbildern (2020/1)
supervisors

Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann

Dipl.-Ing. Carsten Bruns

cooperation

ÖbVI Bruns

Entwicklung eines Prozesses zur Detektion von Rissen auf Schweißnähten durch digitale Bildverarbeitung (2020/1)