Autonomous vehicles powered by artificial intelligence have many advantages, but ensuring that they make safe decisions in risky scenarios remains a challenge.
Mimicking the workings of the amygdala, a part of the brain that processes emotions, NTU researchers have developed a machine learning model that can “feel” fear. This enables autonomous vehicles to learn defensive driving behaviours and take safer actions.
Humans feel fear when faced with
unpleasant events or uncertain situations and learn to avoid them. The researchers programmed fear into the model by incorporating anticipated negative stimuli and uncertainties in its decision-making process.
Their experiments found that the
model had a lower collision and traffic violation rate in ambiguous road situations than other autonomous driving programmes. The model also outperformed human drivers in avoiding collision when a vehicle suddenly cut into its lane.
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