Enabling Virtual Validation and Verification for ADAS and AD Features

Research Project, 2022 – 2024

Purpose and goal: 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.

Expected results and effects: 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.

Approach and implementation: The project will tackle challenges originating from a multi-stakeholder analysis in WP2 and derive a gap analysis from it. WP3 will then develop joint running case studies for different strategies within the project. WP4 will drive the work of the case studies, where amongst others an open virtual test framework will be explored to generate open results. WP5 will then perform tests and evaluate the strategies developed. Results generated in WP5 is fed back into WP4 to refine developed strategies. WP1 handles project management and dissemination of results.