Ronald Tabernig

Ronald Tabernig is a doctoral candidate and researcher at the 3D Geospatial Data Processing Research Group at the Institute of Geography at Heidelberg University.

Research Interests

• LiDAR time series for natural hazard monitoring
• 3D geodata processing and geoinformation extraction
• Virtual Laser Scanning - LiDAR Simulation

Projects

• AImon5.0 - Real-time monitoring of gravitational mass movements for critical infrastructure risk management with AI-assisted 3D metrology.

Publications

• Tabernig, R., Zahs, V., Weiser, H. & Höfle, B. (2024): Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning. EGU General Assembly 2024. Vol. EGU24, pp. 1-2. DOI: 10.5194/egusphere-egu24-1613.
• Tabernig, R., Anders, K., Fritzmann, P., Weiser, H., Zahs, V., Höfle, B. & Rutzinger, M. (2023): Quantifying slope movements: Tree trunk tracking using long-range stationary 4D laser scanning point clouds. Proceedings of 5th Virtual Geoscience Conference (VGC), pp. 101-102. DOI: 10.25368/2023.194.