In the PROVEX project, JOANNEUM Research and VRVis are developing a provenance-aware workflow management tool for heterogeneous data for use in ESA's HERA mission.
A high-resolution base model of the entire federal state of Rhineland-Palatinate makes heavy rain and flood simulations accessible to different user groups.
No blind spots on train roofs thanks to depth cameras.
Within the framework of “AI for Green”-funded research project develops AI-based solutions aimed at optimizing free satellite data for monitoring agricultural areas of all sizes.
PanCam-3D focuses on the further development of interactive 3D visualizations for the ExoMars 2022 mission.
WIBSTAC addresses the usage of wide baseline stereo 3D reconstruction for medium- and long-range mapping of the Martian surface, based on imagery from panoramic rover camera instruments.
Based on real-world use cases from the field of intelligent logistics systems, the REINFORCE project investigates how reinforcement learning can solve complex control problems.
Im Projekt REINFORCE wird anhand von realen Anwendungsfällen aus der Praxis intelligenter Logistiksysteme untersucht, wie durch Reinforcement Learning komplexe Steuerungsprobleme gelöst werden können.
The Beaucoup project's multisensory, inclusive toolsets enable barrier-free exploration of and interaction with cultural heritage targeted at older adults.
The CosmoWeather research project aims to develop VR and AR solutions for experts and the general public to make the research field of space weather more accessible and understandable.
VR and AR provide new solutions for the automotive industry, especially in the prototyping phase: Perfect digital VR twins can be used to easily check how new designs or adaptations affect the prototype.
With the help of 3D printing (additive manufacturing), spare parts for defective trains can be produced more easily and in a sustainable way as well as faster and cheaper - a great potential for the climate-friendly future of train transport companies.
The research project CognitiveXR focuses on developing a platform that enables cognitive augmentation in the smart city domain by seamlessly integrating augmented reality, edge computing, and artificial intelligence.