Lorkowski, P.; Brinkhoff, T.(2015):
Towards Real-Time Processing of Massive Spatio-Temporally Distributed Sensor Data: A Sequential Strategy Based on Kriging.In: Bação, Santos, Painho (eds.): AGILE 2015 – Geographic Information Science as an Enabler of Smarter Cities and Communities, Lecture Notes in Geoinformation and Cartography, Springer, 145-163 , doi: 10.1007/978-3-319-16787-9_9
Resch, Bernd; Wichmann, Andreas; Goell, Nicolas(2015):
Usability in 4D AR: Visualising Multi-Temporal Real-Time Geo-Data in Augmented Reality Environments.International Journal of Interactive Mobile Technologies , doi: https://doi.org/10.3991/ijim.v9i4.4626, Weblink
Jansen, S.; Höting, D.; Runge, J.; Brinkhoff, T.; Nicklas, D.; Sauer, J.(2014):
9 Million Bicycles? Extending Induction Loops with Bluetooth Sensing.Proceeding 15th IEEE International Conference on Mobile Data Management (MDM 2014), Brisbane, Australia, 2014, 113-116 , doi: 10.1109/MDM.2014.20
Lückehe, D.; Kramer, O.; Weisensee, M.(2014):
An Evolutionary Approach to Geo-Planning of Renewable Energies.Proceedings 28th International Conference on Informatics for Environmental Protection (EnviroInfo), Oldenburg, 2014
Luhmann, T.:
Fundamentals of camera calibration and image orientation.UAV-Conference, Intergeo 2024, Stuttgart,
September 2024
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
Paulau, P.
; Hurka, J. ; Middelberg, J. ; Koch, S.:
Centralised monitoring and control of buildings using open standards.8th International Conference on Smart Data & Smart Cities (SDSC), Athen,
Juni 2024Weblink
Luhmann, T.:
Introduction to Close-Range Photogrammetry.VRscan3D project week, Vilnius,
Mai 2024
Eine der wesentlichen Zielsetzungen des Projektes ist die Untersuchung der Datenbankmodelle der E.ON Ruhrgas in Bezug auf die Kompatibilität zu aktuellen Geodatenstandards.