The development of highly networked, integral and global safety functions through to highly automated vehicles has resulted in increasing complexity and testing effort. A promising approach to mastering complexity and limiting costs is to continuously increase the amount of virtualisation used in test systems. The cluster focuses on state-of-the-art virtual development methods and tools and adds those aspects which are lacking where the aim is to specifically establish global safety systems. The aim is to create a simulation-based driving test for Vehicle Safety 4.0.This cluster is currently working on the Impulse Project “Mixed reality experimental environment for safety-critical functions in highly automated driving”.
Automated driving is a key technology of the mobility revolution. The introduction of highly or fully automated vehicle functions will significantly change the interaction between driver, vehicle and driving environment. However, the technical complexity and in particular the functional safety of these vehicles cannot be adequately captured and verified with classic endurance tests, as they have been carried out in the development phase to date. The impulse project starts at this point and aims to create a modern test environment for automated vehicles in urban traffic by means of a mix of simulation-based methods and real tests. A further problem of classical endurance tests arises from the fact that, especially in mixed traffic, different weather conditions, mental states of all traffic participants as well as sensor aging and failures have to be examined in a reproducible setting.The central research question of IP 1 is how traffic safety in urban areas will be changed by highly or fully automated driving. The aim of the project is the automatic generation of test cases and, based on this, the determination and evaluation of future traffic scenarios and their effects on traffic safety. The implementation of a continuous so-called "mixed reality test environment" will create a basis for valid and reproducible validation and validation of the high complexity of situations in urban areas with variable reality reference. For this purpose, the proportion between virtual and real test can be varied in several discrete steps in the four dimensions, driver models, sensor technology, environmental properties and vehicle characteristics of the test setup. With the resulting configurations, all test cases occurring in reality should be generated, evaluated with regard to their criticality and HAF/VAF functions should finally be secured in a reproducible manner.