Validation of Radar-based ADAS and AD Functions on Vehicle-in-the-Loop Testbeds

摘要

One of the biggest challenges for the homologation of driver assistance systems or autonomous driving functions is the system validation. In addition to the identification and development of relevant scenarios, their execution at vehicle level requires new and more efficient methods than road or proving ground testing. Executing scenarios on vehicle-in-the-loop test beds is an efficient complement and accelerates time-to-market despite the ever-growing number of homologation tests, as AVL and Rohde & Schwarz show. The introduction of regulation UNECE R157 defined the standard requirements for the homologation of Automated Lane Keeping Systems (ALKS) for cars. This opened the door for many new SAE Level 3 functions and beyond. With this comes a massively increased test effort for the homologation of future functions. Therefore, the UNECE World Forum for Harmonization of Vehicle Regulation (WP.29) works on New Assessment and Test Methods for Automated Driving (NATM) [2] in a program named Working Party on Automated/Autonomous and Connected Vehicles (GRVA) to establish a global framework for the tests and to ensure consistence of performance and compatibility. Beside scenario catalogs, methods for test assessment and monitoring in the field, a combination of simulation and virtual testing is investigated and developed. It ranges from Model-in-the-Loop (MiL) and Software-in-the-Loop (SiL) via Hardware-in-the-Loop (HiL) to Vehicle-in-the-Loop (ViL) and Driver-in-the-Loop (DiL), FIGURE 1.