Framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems

Autonomous Emergency Braking (AEB) systems play a critical role in ensuring vehicle safety by detecting potential rear-end collisions and automatically applying brakes to mitigate or prevent accidents. This paper focuses on establishing a framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems (ADAS) by testing & verifying the functionality of a RADAR-based AEB ECU. A comprehensive V&V approach was adopted, incorporating both virtual and physical testing. For virtual testing, closed-loop Hardware-in-Loop (HIL) simulation technique was employed. The AEB ECU was interfaced with the real-time hardware via CAN. Data for the relevant target such as the target position, velocity etc. was calculated using an ideal RADAR sensor model running on the real-time hardware. The methodology involved conducting a series of test scenarios, including various driving speeds, obstacle types, and braking distances. Automation was leveraged to perform automated testing and report generation with pass-fail assessment for each test scenario. For physical testing, virtual test scenarios were recreated on a closed test track with the help of appropriate test equipment. Performance evaluation of the AEB ECU was conducted by installing it in a test vehicle and subjecting it to the recreated test scenarios. Test results and future scope are summarized at the end of the paper.