The developmental process of any kind of systems, either single embedded components or complex composite system like ADAS, is supposed to reflect all constraints of the desired task and boundary conditions of the environment in order to be part of the solution. Advanced driver assistant systems acting in natural unstructured environments, interacting with human operators, define the highest level of complexity, and the demanded require- ments can only be met by a simulated environment providing the best possible approximation of the reality. In this contribution we introduce a versatile simulated reality framework allowing to develop, asses and benchmark embedded components, whole ADAS, related network interactions and models of human driving behavior.This work will be presented at the PECCS2012, interantional conference on pervasive and embedded computing and communication systems on Sunday 26.02.2012, at 11:00
