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

Nietiedt, S. : Simulation-based accuracy investigation of a photogrammetric setup to measure a dynamic process. Optical 3D Metrology workshop (O3DM), Dezember 2022 doi: https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-95-2022
Luhmann, T. : Dynamic optical 3D metrology for wind energy applications. Optical 3D Metrology (O3DM), Würzburg, Dezember 2022
Luhmann, T. : Optische 3D-Messtechnik im Kontext von Industrie 4.0. Technische Universität Dresden, Dezember 2022
Jaquemotte, I. ; Pesch, R. : Möglichkeiten der Einbindung des Landschaftsinformationszentrums Ammerland e.V. in die Lehrveranstaltungen des Abteilung Geoinformation des Fachbereichs BGG der Jade Hochschule. Roadmap Geografische Forschungsthemen im Ammerland; Landschaftsinformationszentrum Ammerland e.V., Jaspershof, Westerstede, November 2022
Luhmann, T. : Development of a simulator for terrestrial laser scanning as a powerful tool for distance learning. Polytecnico di Milano, Campus Lecco, November 2022

Projects

funded by: German Research Foundation
Classical methods of photogrammetric deformation analysis are essentially a two-step process of spatio-temporal image matching (STM) followed by the calculation of deformation parameters. In many close-range applications, further kinematic in... more
funded by: Niedersächsisches Vorab
Transformation and structural change in rural areas mean changes in space and time. Such spatiotemporal data is to be managed and processed by our “Geo-Toolbox”. It uses digital technologies such as databases and geographic information systems &#... more
funded by: Bundesministerium für Bildung und Forschung
The Project – „CoSAIR – Collaborative Spatial Artificial Intelligence in Realtime“ is funded by the Federal Ministry of Education and Research within the program „Research at Universities of Applied Sciences“ in order to create, consolida... more

Bachelor & Master Theses


Untersuchung und Bewertung von ArcGIS Monitor zur Systemüberwachung mit Schwerpunkt System-, Kosten- und Qualitätsoptimierung im Unternehmensumfeld der BTC AG (2021/2)
supervisors

Prof. Dr. Thomas Brinkhoff

Dipl.-Ing. (FH) Kai Hoffmann

Entwicklung einer GUI zur identischen Verwendung in mehreren GIS am Beispiel von ArcGIS Pro, QGIS und einer Fachdatenanwendung (2021/1)
supervisors

Prof. Dr. Stefan Schöf

Dipl.-Ing. Roland Hachmann

cooperation

IP SYSCON GmbH

Evaluation von Matching-Verfahren für die visuelle Auftragsidentifizierung von Fotoprodukten (2021/1)
supervisors

Prof. Dr. Stefan Schöf

Dr. Philipp Sandhaus

cooperation

CeWe Color

Untersuchungen zur Genauigkeitssteigerung von GNSS-Messungen durch Sensordatenfusion mit Inertialmessungen (2021/1)
supervisors

Prof. Dr.-Ing. Hero Weber

Dipl-Ing. M. Stricker

Erprobung eines neuen Messverfahrens für das Liegenschaftskataster: Schrägmessung mit dem GNSS-Rover Leica GS18 T (2021/1)
supervisors

Prof. Dr.-Ing. Hero Weber

Dipl-Ing. E. Grela