The aim of the VAMOS project is to develop and employ tools and methods from the field of Visual Analytics to make the setup and prior estimation of 3D simulation environments simpler and faster, and support the decision finding in design processes. Modelling scenarios for all kinds of simulations is a tedious task, especially since the complexity of the input models can have nearly arbitrary and unforeseeable impacts on the simulation run time. Finding the limiting bottlenecks by tuning the input parameters, or finding an optimal solution that depends on a vast variety of input parameters, has so far often been a task that relied on either naive trial-and-error methods or hard-to-learn user experience.
The objectives in this project therefore include finding the right simulation settings for an existing simulation prototypes on the one hand, and providing semi-automatic hints for 3D object placement and modelling on the other hand – both by exploring and exploiting the information in the underlying parameter space. For the user, these developments will lead to drastically shortened production cycles in complex simulation and design processes.
Senior Researcher, Geospatial Visualization, Semantic Modelling, and Acquisition Group
maierhofer(at)vrvis.at +43 1 908 98 92 502Start: 01.2014
End Date: 12.2016
PARTNERS
Zumtobel Lighting GmbH
Witsch Visuals GmbH
FFG - COMET
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.
High-quality lighting simulation requires dynamic, interactive, realistic real-time lighting simulation for various complex architectural environments.
In this project tools and methods for handling, administration, manipulation and evaluation of several different data sources for measurements and lighting design are developed.
