Show images of current Projects | Years: 2019 - 2020 - 2021.
Smart Communities and Technologies: 3D Spatialization
The Research Cluster "Smart Communities and Technologies" (Smart CT) at TU Wien will provide the scientific underpinnings for next-generation complex smart city and communities infrastructures. Cities are ever-evolving, complex cyber physical systems of systems covering a magnitude of different areas. The initial concept of smart cities and communities started with cities utilizing communication technologies to deliver services to their citizens and evolved to using information technology to be smarter and more efficient about the utilization of their resources. In recent years however, information technology has changed significantly, and with it the resources and areas addressable by a smart city have broadened considerably. They now cover areas like smart buildings, smart products and production, smart traffic systems and roads, autonomous driving, smart grids for managing energy hubs and electric car utilization or urban environmental systems research.
3D spatialization creates the link between the internet of cities infrastructure and the actual 3D world in which a city is embedded in order to perform advanced computation and visualization tasks. Sensors, actuators and users are embedded in a complex 3D environment that is constantly changing. Acquiring, modeling and visualizing this dynamic 3D environment are the challenges we need to face using methods from Visual Computing and Computer Graphics. 3D Spatialization aims to make a city aware of its 3D environment, allowing it to perform spatial reasoning to solve problems like visibility, accessibility, lighting, and energy efficiency.
Superhumans - Walking Through Walls
Path-Space Manifolds for Noise-Free Light Transport
The project aims to develop new statistical and algorithmic methods to improve light-transport simulation for offline rendering.
ILLUSTRARE: Integrative Visual Abstraction of Molecular Data
FWF - I 2953-N31
Integrative Visual Abstraction of Molecular Data
Visual Information Foraging on the Desktop
The goal of this project is to design and develop novel interactive visualization techniques to support knowledge workers in making sense of their unstructured, dynamic information collections.