In order for artificial intelligence to be able to adapt ever better to real-life environmental situations, the scientific methods used to train it must be further refined. This is also the key to whether automated vehicles in autonomous driving will be able to move safely on the roads in the future.
The "KI Delta Learning" consortium aims to reach the goal of further developing autonomous driving to the point where it is ready for series production. Under the leadership of Mercedes-Benz AG, scientists from the Department of Electrical Engineering and Information Technology are also involved in the project, for example Prof. Bin Yang and Robert Marsden from the Institute for Signal Processing and Systems Theory (ISS). Prof. Yang, head of the ISS, is coordinating the further development of the AI modules for the autonomous driving vehicles and is using new machine learning methods to train them for a better understanding of the environment.
Read more about the tasks of the EI department in the research consortium "KI Delta Learning".