To make self-driving cars safe in the future, development efforts often rely on sophisticated models aimed at giving cars the ability to analyse the behaviour of other traffic. But researchers have now asked: what happens if the cars come across a complex situation they have never seen before and cannot handle alone?

A team working with Prof. Eckehard Steinbach, who holds the Chair of Media Technology and is a member of the Board of Directors of the Munich School of Robotics and Machine Intelligence (MSRM) at TUM, is taking a new approach.

They claim that thanks to artificial intelligence (AI), their system can learn from past situations where self-driving test vehicles were pushed to their limits in real-world road traffic. Those are situations where a human driver takes over – either because the car signals the need for intervention or because the driver decides to intervene for safety reasons.
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