The aim of the project IVC Stream is to research novel visual computing solutions for simulation and measurement data.
The strategic project of the area is the organizational and scientific hub for the realization of the area-wide intelligent visual computing approach for analytics and modelling based on ensembles of dense grid-based data, derived data, and digital embedding.
The research goal of AMASE is to create a suite of tools and methods to ingest, process, visualize, and manipulate heterogeneous, large-scale geospatial data. This data is the constantly updated representation of the real world in the form of an evolving digital twin.
The main goal of this project is to enable a reliable decision support for large-scale infrastructure projects by providing solutions for a collaborative visual analysis of digital twins.
The main objective of the strategic project ARCS is the design of software architectures that enable interactive visualization systems to ingest large volumes and velocities of geospatial and associated non-geometric data.
The goal of the project MARAMT is to develop a software framework to significantly reduce the effort required to work with existing and future complex cyber-physical systems.
Within the project Larvalbrain 2.0, a dynamic multi-scale multi-level atlas and data collection of structural, molecular, physiological, and behavioral results of Drosophila melanogaster larvae will be established.
Visdom's hydrodynamic simulations provide precise water level predictions at any point on a water surface in the "PegelAlarm" app.
To take full advantage of data from automotive simulations and measurements, we combine interactive and automatic Visual Computing methods to find intuitive, efficient and effective solutions that are applicable in the daily routine of engineers.
MINERVA is an integrated framework for planetary scientists allowing members of different instrument teams to cooperate synergistically in virtual workspaces by sharing observations, analyses and annotations of heterogonous mission data.
ARCHES - Accessible Resources for Cultural Heritage EcoSystems was an EU-funded Horizon2020 project coordinated by VRVis.
The long-term vision of this applied research project is to use available data resources to improve image-based diagnostics based on complex data in daily clinical routine.
The combination of "liquid biopsies", machine learning and data visualization aims to enable earlier and more accurate prediction of a relapse in children with cancer.
Visual Analysis of Asteroid Deflection.
For many years we have been dealing with all aspects of hydrodynamic modelling. With our software Visdom we can model different scenarios and also offer this as a service.
New technologies and security policy developments bring a paradigm shift for the Austrian armed forces. The use of information and communication measures entails both challenges and opportunities: for combat, security and rescue manoeuvres.
We create a digital twin of a community and simulate weather events to identify high-risk buildings and infrastructure vulnerabilities.
In this project tools and methods for handling, administration, manipulation and evaluation of several different data sources for measurements and lighting design are developed.
The strategic project forms the organizational and scientific hub for the realization of an area wide integrative visual computing approach. It covers joint strategic research and development on fundamental challenges in all application projects.
The HORA 3 project focuses on flood modelling for all rivers and streams in Austria. The results are detailed flood risk maps for different annual periods.
Hands-on flood management with the Visdom decision software, which simulates and visualizes flood and heavy rain events.
Understanding how the brain works is one of the biggest challenges addressed by neuroscientists today. Modern neuroscience research is extremely data-intensive and requires special software infrastructures to enable and accelerate the discovery of the complex interplay of genes, structure and function.
Research project on powerful visualization methods to support decision making in complex infrastructure projects, especially in tunnel, railway and road construction.
Visualization and visual analysis of high-resolution surface reconstructions find a wide range of applications, from tunnel monitoring and archaeological excavations to the change management of cultural heritage buildings.
Digital representations of the real world and digital twins are becoming increasingly important for planning, situation assessment and decision-making.
Support for planetary research: Visual analysis of reconstructions of the Mars surface and view planning for rover camera instruments.
Virtual exploration and geological analysis of reconstructed Mars surfaces and rock outcrops.
Complex simulation data is practically omnipresent today.
The goal of the applied research project En2VA (“Visual Analytics for Energy and Engineering Applications”) is to increase the efficiency and the quality of advanced analytics for high-dimensional data from manufacturing, engineering, and the energy sector.
Visual computing for medicine: image processing solutions for new applications in radiology.
Barrier-free access to art and museums for blind and visually impaired people through 3D technology.
With Augmented Reality, simulation results of car engine noises become visible.
For centuries, neuroscientists have been mapping the brain. Until now, the step from simple maps to a generally accepted model has proved to be extremely difficult. In this project, a 4D atlas of the brain of the fruit fly larva is being built.
A visual tool for a combined stratigraphic and temporal documentation and interpretation of excavation projects.
Novel visual analysis technologies for high-dimensional data in automotive engineering, industrial manufacturing and the energy sector
A more efficient way to create operating manuals from existing databases for product life cycle management using Augmented Reality.
Decision support system for floods and inundations for the trading district of Shenzen, China.
With the KAUST Scene Generator three-dimensional road networks can be generated from open-source OpenStreetMap data.
Strategic Research in Scalable, Semantic Rendering.
Localization of Virtual Sound Sources: Effects of Pointing Method, Visual Environment, and Training.
Flood protection through simulation and visualization: Reducing the effects of floods and communicating measures to the public.
Planetary Robotics Vision Data Exploitation.
Investigation of techniques enabling a seamless analysis of data from multi-run simulations on multiple degrees of detail.
Seamless visual analysis of data involving 3D geometry, relational information and multivariate attributes.
Research and development of novel interactive visualization methods for visualization and understanding of complex systems.
In order to preserve the architectural heritage, we use methods of photogrammetry, thermography, photometry as well as laser scans to carry out inventories, recognition and documentation of changes in protected buildings.
Algorithms to improve the visual analysis of surface reconstructions.
VRVis contributes data analytics and visualization tools tailored to support and accelerate research of the Haubensak Group at the Institute of Molecular Pathology Vienna.
High-quality lighting simulation requires dynamic, interactive, realistic real-time lighting simulation for various complex architectural environments.
Visual computing techniques for the automated detection of osteoporosis and osteoarthritis.
Software for the use of multi-modality images in external radiotherapy.
Visual Analytics for Modeling and Simulation: Improvement of simulation setup and design scenarios with tools and methods of Visual Analytics.
Improving and combining multiple sensors to increase the accuracy and reliability of modern surveying equipment.
Decision support systems and 3D viewing technologies for tunnel construction.
Next generation workflows for interactive knowledge generation from images and simulations.
The analysis, visualization and exploration of high-dimensional image spaces are the subject of the KAFus project.