Autonomous Driving

Dependable cognitive systems for autonomous driving

When it comes to autonomous driving, the greatest challenge involves generating and processing information, and then reacting accordingly.

Today, autonomous vehicles function reasonably well in test situations since the conditions are severely restricted and thus easy to manage. A key issue however is how to design autonomous vehicles so that they operate dependably even in difficult environments, such as normal road traffic.

If the system is not in a position to create a precise model of the driving situation in bad weather conditions for instance, the vehicle cannot be allowed to continue to operate. The system must be able to monitor itself and evaluate its own state and level of dependability while continuing to operate under these restrictions.

The Fraunhofer Institute for Cognitive Systems IKS offers solutions that permit autonomous vehicles to function dependably, in spite of difficult conditions or errors, thus ensuring that no one is exposed to danger. The goal is to create a thoroughly verified, intelligent software architecture for the automobile - a so-called resilient cognitive system.