Evaluation of Driving Data from Digital Tachographs
Beginn: 2023
Books and Papers
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2024
Nickel, S.; Hertel, A.; Pesch, R.; Schröder, W.; Steinnes, E.; Uggerud, H.T. (2014):
Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990-2010 throughout Norway by multivariate generalized linear models and geostatistics. Atmospheric Environment 99:85-93
Berghaus, A.; Schniederbruns, B.; Luhmann, T.; Piechel, J.; Schwäke, D. (2014):
Multispektrale Objekterfassung durch Fusion verschiedener Kamerasysteme - Einsatz von fusionierenden Kamerasystemen zur Wilderkennung bei der Grünfutterernte. Tagungsband VDI-Tagung Land.Technik, Berlin
Meyer, M.; Schröder, W.; Pesch, R.; Steinnes, E.; Uggerud, H.T. (2014):
Multivariate association of regional factors with heavy metal concentrations in moss and natural surface soil sampled across Norway between 1990 and 2010. Journal of Soils and Sediments 14(11): 1-15
Bethmann, F.; Luhmann, T. (2014):
Object-based Multi-Image Semi-Global Matching – Concepts and First Results. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5, Commission V, Riva del Garda, Italy, 93-100
, doi: 10.5194/isprsarchives-XL-5-93-2014
Luhmann, T.; Müller, C. (2014):
Photogrammetrie, Laserscanning, Optische 3D-Messtechnik – Beiträge der 13. Oldenburger 3D-Tage. Wichmann VDE Verlag, 382 Seiten
Presentations
Albers, S.
:
Automatische Erkennung transparenter oder spiegelnder Oberflächen aus 3D-Punktwolken.
Oldenburger BIMTag,
September 2022
Luhmann, T.
:
Hochgenaue optische 3D-Messtechnik.
Technische Optik in der Praxis, Göttingen,
September 2022
Pesch, R.
; Rothe, M. ; Bildstein, T. ; Schuchardt, B. ; Heinicke, K. ; Boedeker, D. :
Mapping of softbottom biotopes in the German EEZ – First results from 10 years of biotope mapping in the North Sea.
Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022),
August 2022
Pesch, R.
; Beermann, J. ; Gutow, L. ; Heinicke, K. :
Benthic Monitoring within the scope of the EU Habitats Directive and Marine Strategy Framework Directive in the German EEZ of the North Sea.
Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022),
August 2022
Pesch, R.
; Nolte, P. ; Bildstein, T. ; Schuchardt, B. ; Heinicke, K. ; Boedeker, D. :
Delineation of reefs in the German EEZ of the North Sea - New results from the national biotope mapping project.
Meeting of the ICES Working Group on Marine Habitat Mapping (Marine and Freshwater Research Institute, Reykjavik, Island; 29.08.-02.09.2022),
August 2022
Projects
funded by: Zentraler Kriminaldienst Stendal
The objective of the project is to evaluate the driving data (time and speed) from a digital tachograph in order to determine the route driven by a vehicle. For this purpose, an application was developed that visualizes an interactively const... more
funded by: Federal Acency for Cartography and Geodesy (BKG)
This is a joint project with the Institute for Photogrammetry and GeoInformation (IPI) and the Institute for Cartography and Geoinformatics (ikg), both from Leibniz University Hannover. It is the first project of the "Gauß Center... more
funded by: Federal Ministry for Economic Affairs and Climate Action
The goal of the project is to supplement the classic visual inspection (VT) of welded joints under water with an optical 3D measurement system. Based on high-resolution 2D (image) data, metric 3D (surface) data will be generat... more
Bachelor & Master Theses
Untersuchung zum Einfluss von Baumbeständen bei der Wertermittlung eines Flurbereinigungsverfahrens (2024/2)
cooperation
Untersuchung zum Mobile Mapping in der Bestandserfassung im Vergleich zu konventionellen Messmethoden (2024/2)
cooperation
Augmented Reality in der Flurbereinigung: Untersuchung zur Visualisierung der Besitzeinweisung (2024/2)
Untersuchung zur Georeferenzierung und Nutzung von Urkarten des Liegenschaftskatasters (2024/2)
Analyse und Vergleich der geometrischen Eigenschaften von Referenzdaten und KI-Ergebnissen für die automatische Gebäudeerkennung in Luftbildern (2024/2)