Application Cluster "Unmanned Flying"

The development of unmanned flight offers Bavaria great potential for value creation, especially through new business areas such as urban air mobility and drone technology.

In addition to unmanned passenger transport in the third dimension, unmanned flight systems can be used for a wide range of applications, e.g. searching for missing persons, rapid damage assessment after accidents or disasters, transporting urgently needed items such as medicine to places that are difficult to reach, effective and environmentally friendly agriculture by collecting data on agricultural land, environmental protection by collecting precise data on animal and plant populations, quick access to places on buildings that are otherwise difficult or impossible to reach, and traffic optimization through accurate real-time data on traffic. In addition, temporary infrastructure services, such as flying radio relays to increase the range of local radio links, are conceivable.

AI algorithms play an important role in the operation of unmanned aerial systems in the safe execution of the flight and the integration into the airspace shared with manned aircraft. The focus is on sensor signal processing for airspace perception but also on the planning of trajectories for safe and effective flight guidance. These AI algorithms can be executed by the increased computing power of embedded systems on board small unmanned flight systems to provide appropriate sensing and data processing for the above mentioned Smart Services and to react to these results already during flight.

The two professorships in the application cluster "Unmanned Flight" funded within the framework of the High-Tech Agenda Bavaria as well as the new endowed professorship in the cluster are shown in the following diagram.

AI mobility professorships at the THI in the Unmanned Flying Cluster:

Contact

Scient. director AININ; Programme director and Acadmic Advisor "Automated Driving and Vehicle Systems" (Master)
Prof. Dr.-Ing. Michael Botsch
Phone: +49 841 9348-2721
Room: H024
E-Mail: