Tholen, C.; Rofallski, R.; Nolle, L.; El-Mihoub, Tarek; Parnum, Iain; Zielinski, Oliver(2020):
On the localization of artificial submarine groundwater discharge sites using a low-cost multi-sensor-platform.OCEANS 2020, Singapore
Tholen, C.; El-Mihoub, Tarek; Nolle, L.; Ralle, Oliver; Rofallski, R.(2020):
Optimal receiver configuration of short-baseline localisation systems using particle swarm optimisation.European Council for Modelling and Simulation, ECMS, 2020, 34(1), pp. 25-31 , doi: 10.7148/2020-0025
Kahmen, O.; Haase, N.; Luhmann, T.(2020):
Orientation of point clouds for complex surfaces in medical surgery using trinocular visual odometry and stereo orb-slam2.Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 35–42, 2020 , doi: 10.5194/isprs-archives-XLIII-B2-2020-35-2020, Weblink
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
Ghavimi, A.:
Digital Mapping the Social Memory for a Sustainable Transformation of Settlements: A Participatory GIS Approach.City Transitions: Society and the Spatial and Temporal Dimensions of Change,
September 2024
Sieberth, T.:
Photogrammetrie in der Forensik.Schlaues Haus Oldenburg,
September 2024Weblink
Fincken, M.:
Machine Learning für flächendeckende Geothermie-Potentialanalysen im Kontext der geodatenbasierten Wärmeleitplanung.Künstliche Intelligenz in der Geodäsie und Geoinformation, BILDUNGSWERK VDV, Paderborn,
Juni 2024
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
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