Books and Papers
all
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Jung, Jaewook; Sohn, Gunho; Bang, Kiin; Wichmann, Andreas; Armenakis, Costas; Kada, Martin (2016):
Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing. Sensors
, doi: https://doi.org/10.3390/s16060932 , Weblink
Jepping, C.; Luhmann, T. (2016):
Object deformations from image silhouettes using a kinematic finite element beam model. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, 41-47
, doi: 10.5194/isprs-archives-XLI-B5-41-2016
Brinkhoff, T. (2016):
Open Street Map Data as Source for Built-up and Urban Areas on Global Scale. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B4, 2016, 557-564
, doi: 10.5194/isprs-archives-XLI-B4-557-2016 , Weblink
Luhmann, T.; Große-Schwiep, M.; Jepping, C. (2016):
Optische Messung der Verformung von Rotorblättern unter Windlast. Tagungsband 5. VDI-Fachtagung Optische Messung von Funktionsflächen, Nürtingen bei Stuttgart, VDI-Bericht 2285, VDE Verlag, 33-45
Luhmann, T.; Schumacher, C. (2016):
Photogrammetrie, Laserscanning, Optische 3D-Messtechnik – Beiträge der 15. Oldenburger 3D-Tage. Wichmann VDE Verlag, Berlin, 341 Seiten, ISBN 978-3-87907-604-8
Presentations
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
Chizhova, M. :
Probabilistic reconstruction of destroyed and incomplete objects from point clouds using Bayesian networks and cellular automata.
Michigan Tech University, Houghton, USA,
September 2017
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
people
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
Prof. Dr. Thomas Brinkhoff (head) Prof. Dr. rer. nat. habil. Roland Pesch (head) Prof. Dr. rer. nat. Frank Schüssler (head) Tobias Werner, M.Sc. (10.2022-) Jonas Schoo, M.Sc. (06.2022-) Maren Leiz, M.Sc. (08.2022-) Dr. Amirmohammad Ghavimi (08.2022-)
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
people
Prof. Dr. Sascha Koch (head) Oliver Kahmen, M.Sc. (04.2022-07.2022) Tobias Neiß-Theuerkauff, M.Sc. Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)
Prof. Dr. Sascha Koch (head) Oliver Kahmen, M.Sc. (04.2022-07.2022) Tobias Neiß-Theuerkauff, M.Sc. Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann Mareike Fincken, M.Sc. (09.2023-)
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
people
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Simon Albers, M.Sc. (03.2023-10.2023) Robin Rofallski, M.Sc.
Prof. Dr.-Ing. habil. Dr. h.c. Thomas Luhmann (head) Simon Albers, M.Sc. (03.2023-10.2023) Robin Rofallski, M.Sc.
Bachelor & Master Theses
Human-Centered Design in der Konzeption und Entwicklung eines geodatenbasierten Entsiegelungskatasters (2023/12)
Flächendeckende Versiegelungsdetektion mittels Machine Learning für Entsiegelungskataster (2023/12)
Der digitale Zwilling im Metaverse - Untersuchung zur Modellierung und Anwendung virtueller Räume (2023/12)
cooperation
Räumliche Unterschiede bei der Wahrnehmung von Zukunftsmärkten in Medien: Eine Analyse von Zeitungsartikeln mittels Machine Learning (2023/10)
cooperation
Untersuchung zur zielgruppenorientierten 3D-Visualisierung von 2D-Plänen in kommunalen Planungsprozessen mit Entwurf einer webbasierten 3D-Informationsplattform (2023/9)
cooperation