Homologation of ADAS and AD: Challenges and How to Tackle Them

Safety and homologation of automated vehicles (AVs) presents a huge challenge for their market introduction. The number of regulations and standards considering safety of AVs gradually increases, but current safety standards and regulations still have to be adopted and enhanced. Moreover, systems based on artificial intelligence (AI) are becoming increasingly prevalent in the electronics systems of automated vehicles. These systems use the available data to draw their own conclusions and successively learn from every encounter of a traffic situation. The certainty that a vehicle will react correctly in traffic thus continuously increases over time. Therefore, the objective is to be able to evaluate the system's learning progress as well as to ensure that the decisions of these systems are always safe for the traffic around. Here, an enormous number of scenarios and environment parameter combinations must be considered. Confronting conventional real-world tests with this test effort is not feasible anymore, and therefore, virtualization of testing methods by means of simulation has to be emphasized. In his keynote, Dr. Houssem Abdellatif presents the current challenges regarding the safety of AI-based systems as well as how to tackle them.