VaViM - Validation of virtual models for the simulation of autonomous vehicle systems

To achieve scalability and robustness, verification and validation (V&V) of autonomous vehicle systems need to be largely carried out virtually. This requires validated models of sensors, vehicles and the environment in which the systems will operate.

Aim of the study

The aim of this feasibility study is to identify state-of-the-art (SoA) and high-priority research questions in methods for validating the models required for virtual V&V of autonomous vehicle systems in a fenced area, and to formulate a joint project application with identified key stakeholders for further studies.

Implementation of the project

The feasibility study is expected to result in a SoA report and a joint project application with identified key stakeholders for further studies. The long-term goal is to obtain objective measures of the reliability of virtual V&V of autonomous vehicle systems. With an approach where validated models and real tests are used side by side, an efficient and predictable continuous V&V of the product's quality and safety is made possible throughout its life cycle; pre-study phase, development phase; commissioning; maintenance & system optimizations.