A team of three doctoral students at the Technical University in Munich published details of their approach today in the journal Nature Machine Intelligence…

The paper shows for the first time that this approach works in arbitrary traffic scenarios, Pek said, as well as in three different urban scenarios where accidents most often occur: turning left at an intersection, changing lanes and avoiding pedestrians. “Our results show that our technique has the potential to drastically reduce accidents caused by autonomous vehicles,” he said.

Whether the algorithm represents a substantial improvement over current techniques, which are based on accepting an inherent amount of collision risk, would have to be proved in tests. Other researchers believe that depending on algorithms as the primary source of improvement may overlook the opportunity for human drivers to collaborate with artificial intelligence.
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