Enabling VIrtual valiDation and vErificatioN for ADAS and AD feaTures
This project will explore strategies which trades degree of fidelity (how realistic the testing environment is) in a quantifiable way to complement or replace recordings from real traffic situations. This data could be captured by real sensors or by simulative components to turn retroactive validation and verification(V&V) strategies, which is driven by real-world recordings only, into a proactive V&V strategy. This would allow for a systematic testing of an adjusted software feature before it is deployed.
A successful strategy would allow all involved actors along the value chain of validating and verifying software-driven vehicle features, to more efficiently allocate the right testing resources, in the right quality, and with the expected degree of fidelity at the most pressing challenges driven by information from the field. An expected effect is that vehicle industry increases their testing efforts with regards to ADAS and AD testing, without the same need for expanding track and open road testing.