Automated driving helps to prevent accidents. What is more, AI-assisted robotic cars also form the basis for data-driven business models at OEMs. In order to be successful, concepts for future mobility solutions need to be developed from the perspective of user groups, urban and rural regions, and targeted business models. The focus must be on road safety and efficient performance, as well as on ecological, economic, and social sustainability. As an information and communication platform, the International Conference “Automated Driving” is dedicated to the key aspects of the mobility transformation.

If we are to address the key challenges of future ADAS systems, we will need to optimize areas such as sensor fusion, computer technology, AI, and V2X communication in order to develop the system-of-systems architecture that is necessary. For that reason, the International ATZlive Conference on “Automated Driving”, which has been established for many years now, is being expanded to include the subjects of DevOps, tooling, algorithm development, programming, SDW, and E/E architecture.

Advanced driver assistance systems (ADAS) are being continuously further developed to provide ongoing support for users. The main aims are not only to increase road safety, but also to improve the availability of the systems and to achieve their acceptance in the market.

For this purpose, areas such as sensor functions, environment modeling, situation prediction, trajectory planning, and decision-making on the one hand, and computer technology and V2X communication on the other must be optimized – supported by AI – in order to develop the necessary system-of-systems architectures.

The 9th International ATZ Conference “Automated Driving” provides a forum for development methodology, technology stacks, and security. It addresses the German government’s strategy on Automated and Connected Driving and discusses engineering and technologies for automated driving from Level 2+upwards.