Books and Papers

Wujanz, D.; Gruner, F.; Buriakovskyi, V.; Gorkovchuk, D.; Chizhova, M.; Popovas, D.; Gielsdorf, F.; Clemen, C.; Luhmann, T. (2024): Geodätische Netzplanung für Robotermissionen basierend auf synthetischen Laserscans. Luhmann/Sieberth (Hrsg.): Photogrammetrie-Laserscanning-Optische 3D-Messtechnik, Wichmann Verlag, Berlin/Offenbach, S. 227-234.
Albers, S.; Rofallski, R.; Luhmann, T. (2024): Inline-Geometrievermessung von Kautschuk: Entwicklung eines Orientierungskonzeptes zwischen Lichtschnittsensoren und einem Stereokamerasystem. Luhmann/Sieberth (Hrsg.): Photogrammetrie-Laserscanning-Optische 3D-Messtechnik, Wichmann Verlag, berlin/Offenbach, S. 2-19.
Pan, J.; Chizhova, M.; Luhmann, T.; Eißing, T. (2024): Machbarkeitsstudie zur automatisierten Zustandsanalyse verbauter historischer Holzbalken. Kersten/Tilly (eds.): Publikationen der DGPF, Band 32, Hamburg/Köln, S. 466-481
Nietiedt, S.; Helmholz, P.; Luhmann, T. (2024): Occlusion handling in spatio-temporal objeact-based image sequence matching. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024 , doi: https://doi.org/10.5194/isprs-annals-X-2-2024-163-2024
Schnabel, M.; Elbeshausen, M.; Erdmann, S.; Koch, S. (2024): Participatory Processes in Geodata-Based Thermal Energy Planning. Innovations and challenges of the energy transition in smart city districts , doi: 10.1515/9783110777567

Presentations

Luhmann, T. : Fusion of Photogrammetry and Laserscanning for Cultural Heritage Objects. GeoSpatial Conference, Teheran, Oktober 2019
Hastedt, H. : Geometric quality of consumer cameras for optical 3D metrology. 73. Heidelberger Bildverarbeitungsforum, Oktober 2019
Luhmann, T. : Photogrammetric image processing. Master lecture, Vilniaus Gedimino technikos universitetas, Vilnius, September 2019
Luhmann, T. : Introduction to 3D reconstruction from images. Bachelor lecture, Vilniaus Gedimino technikos universitetas, Vilnius, September 2019
Brinkhoff, T. : Data Science in der Hochschulausbildung und für EVU. GiN EVU Forum 2019, Oldenburg, September 2019

Projects

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
funded by: Bundesministerium für Bildung und Forschung
This project focuses on the development of an automated production chain that will generate a digital image of the catalyst extrusion process. Using online measurement methods, the IAPG sub-project aims to detect batch-related fluctuations in the mat... more