Prof. Dr.-Ing. Andreas Wichmann
Publikationen
Filippovska, Yevgeniya; Wichmann, Andreas; Kada, Martin (2016):
Space Partitioning for Privacy Enabled 3D City Models. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprs-archives-XLII-2-W2-17-2016 , Weblink
Babacan, Kivanc; Jung, Jaewook; Wichmann, Andreas; Jahromi, Ali Baligh; Shahbazi, Mozhdeh; Sohn, Gunho; Kada, Martin (2016):
Towards Object Driven Floor Plan Extraction from Laser Point Cloud. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprs-archives-XLI-B3-3-2016 , Weblink
Wichmann, Andreas; Jung, Jaewook; Sohn, Gunho; Kada, Martin; Ehlers, Manfred (2015):
Integration of Building Knowledge Into Binary Space Partitioning for the Reconstruction of Regularized Building Models. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, doi: https://doi.org/10.5194/isprsannals-II-3-W5-541-2015 , Weblink
Kada, Martin; Wichmann, Andreas; Hermes, Tobias (2015):
Smooth Transformations Between Generalized 3D Building Models for Visualization Purposes. Cartography and Geographic Information Science
, doi: https://doi.org/10.1080/15230406.2015.1039588 , Weblink
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
Preise und Auszeichnungen
- ASPRS Esri Award for Best Scientific Paper in GIS (2020)
American Society for Photogrammetry and Remote Sensing (ASPRS) - ISPRS Best Paper Award (2018)
International Society for Photogrammetry and Remote Sensing (ISPRS) - AOLS Best Poster Award (2016)
Association of Ontario Land Surveyors (AOLS)
Lehre
- Geobasisdaten
- Kartographie
- Kartographische Informationsverarbeitung
- Projekt Visualisierung
- Seminar Kartographie
- Web Engineering
Abschlussarbeiten
Prozedurale Generierung urbaner Umgebungen – Entwicklung eines Prototyps mittels Unreal Engine (2024/11)
Echtzeit-Visualisierung von Flurstücken des Liegenschaftskatasters in Augmented Reality (2024/2)
Kooperationspartner
Landesamt für Geoinformation und Landesvermessung Niedersachsen (LGLN)
Untersuchung zur Qualität von amtlichen LoD2-Gebäudemodellen anhand von 3D-Punktwolken (2020/2)