The group focusses on methods for the virtual exploration and visual analysis of geospatial data ranging from infrastructure applications to planetary science.
Our goal is to provide interactive 3D environments for the virtual exploration and visual analysis of various types of reconstructed geospatial data sets combined with planning data. Beside geometric representations, it is also very important to consider non-spatial data such as sensor measurements, semantics and statistics. This data fusion enables domain experts to comprehend complex relations and therefore supports them in making better decisions. To this end, we conduct research on adapting methods frominformation visualization for virtual 3D environments. Another priority is the support of Building Information Modelling (BIM), as it becomes the new standard to plan and manage infrastructure projects.
Our group will closely cooperate with the Visual Analytics group, the Semantic Modelling and Acquisition group and the Multiple Senses group. Visual analytics is relevant for geo-referenced non-spatial data. The Semantic Modelling and Acquisition group provides the visualization platform Aardvark and know-how on semantics and reconstruction. The Multiple Senses Group brings in augmented and virtual reality (AR/VR) and 3D printing, which opens new ways to comprehend and interact with geospatial data.
- Geospatial visual analysis
- 3D interaction methods
- GPU accelerated visualization and computation
- Processing of geographic data for real-time rendering
- Geographic projection systems
- BIM interfaces and standards
Tao, Y., Muller, J. P., Willner, K., Morley, J., Sprinks, J., Traxler, C., Paar, G. (2014):
3D Data Products and Web-GIS for Mars Rover Mission for Seamless Visualisation from Orbit to Ground-level. In Proceedings of ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4, 2014, pp.249-256.
Traxler, C, Paar, G, Gupta, S, Hesina, G, Sander, K, Barnes, R, and Nauschnegg, B. (2015):
A virtual environment for the accurate geologic analysis of Martian Terrain, in: Proceedings of EGU 2015.
Traxler C., Hesina G., Barnes R., Gupta S., Paar G.: The PRoViDE framework for the quantitative geologic analysis of reconstructed Martian terrain and outcrops. In Geophysical Research Abstracts, Vol. 18, EGU2016-7196, EGU General Assembly 2016.
Ortner T., Sorger, J., Piringer, H., Hesina, G., Gröller, E. (2016):
Visual Analytics and Rendering for Tunnel Crack Analysis.
Proceedings of CGI 2016.
Ortner T., Sorger, J., Steinlechner, H., Hesina, G., Piringer, H., Gröller E. (2016):
Vis-A-Ware: Integrating Spatial and Non-Spatial Visualization for Visibility-Aware Urban Planning.
IEEE Transactions on Visualization and Computer Graphics 2016.
- Geodata ZT, Geoconsult ZT, dibit, ÖBB, Linsinger ZT
- Joanneum Research
- Faculty of Engineering, Department of Earth Science & Engineering, Imperial College London, UK
- Department of Space and Climate Physics, Imaging Group, University College London, UK
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany
- Space and Planetary Robotics Dept. of Computer Science, Aberystwyth University, Wales
- Moscow University of Geodesy and Cartography (MIIGAiK), Moscow, Russia
- NASA, Jet Propulsion Laboratory (JPL)
- European Space Agency (ESA)
- Arizona State University
Exomars - PanCam
PanCam - the Panoramic Camera
Änderungsmanagement von Gebäuden
Rekonstruktion und Änderungsmanagement von Gebäuden.
Visualisation and visual analysis of high-resolution surface reconstructions for different application areas.
Visual analysis of Martian surface reconstructions and view planning for rover camera instruments.
A visual tool for a combined stratigraphic and temporal documentation and interpretation of excavation projects.
DSS Decision Support System - Translational research on novel methods of 3d viewing technologies for tunnel design and construction.
Planetary Robotics Vision Data Exploitation
Next Generation Interactive Planning
Interactive Geospatial Data Comparison and Validation.
Real-time visualization system for large infrastructure projects.
EU-funded project with the goal to increase the safety and security of industrial systems.
Reconstruction of large infrastructure interiours like railway stations.
High Resolution Mapping and Visualization of Linear Structures.