In addition to this increase in comfort, the major benefits of vehicle automation include resource-saving driving through optimized traffic flows and greater safety for all road users. According to the classification of the SAE (Society of Automotive Engineers) and the VDA (German Association of the Automotive Industry), this can be divided into 5 levels. Today's state of the art includes vehicles with automation levels 2 to 3. The last level is referred to as "autonomous driving". Here, the vehicle is completely guided by the system and performs all the necessary tasks automatically in every situation.
In addition to this increase in comfort, the major advantages of vehicle automation include resource-saving driving thanks to optimized traffic flows and greater safety for all road users. According to the classification of the SAE (Society of Automotive Engineers) and the VDA (German Association of the Automotive Industry), this can be divided into 5 levels. Today's state of the art includes vehicles with automation levels 2 to 3. The last level is referred to as "autonomous driving". Here, the vehicle is completely guided by the system and performs all the necessary tasks automatically in every situation.
In the application cluster, the developments and innovations from the current state of the art to autonomous driving are to be scientifically accelerated. Artificial intelligence is considered a promising method to make the complexity of autonomous mobility manageable, due to the infinite variety of variants and the underlying non-linear relationships in traffic. AI can be used as a pervasive technology in the perception, planning and control of traffic flows (macroscopic) and individual movements of mobility carriers (microscopic), but also for data-based services. Through AI-supported vehicle automation, vehicle manufacturers, suppliers and SMEs are to expand their leading international position. Innovations required for this are to be developed and tested in the Bavarian AI network for mobility.
Completed research projects
Professors in Autnomous Driving
Prof. Dr.-Ing. Michael Botsch
Scientific director AImotion Bavaria; Programme director and Academic Advisor "Automated Driving and Vehicle Safety" (Master)
Prof. Dr. Torsten Schön
Computer Vision for Intelligent Mobility Systems
Prof. Dr. Stefanie Schmidtner
Sustainable Urban Development and Artificial Intelligence
Prof. Dr. Alessandro Zimmer
Guest professor AImotion Bavaria
