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New early warning system for self-driving cars

ARTIFICIAL INTELLIGENCE MOBILITY

A team of researchers from the Munich School of Robotics and Machine Intelligence has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group. The results show that, if used in today’s self-driving vehicles, it can warn seven seconds in advance against potentially critical situations that the cars cannot handle alone – with over 85% accuracy.

 

Prof. 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, explains that “to make vehicles more autonomous, many existing methods study what the cars now understand about traffic and then try to improve the models used by them. The big advantage of our technology: We completely ignore what the car thinks. Instead we limit ourselves to the data based on what actually happens and look for patterns”

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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New early warning system for self-driving cars