Chinese Researchers Use Brain Signals to Improve Autonomous Vehicle Safety
Chinese researchers have developed a system that uses passengers’ brain signals to improve autonomous vehicle safety in risky situations. The system from Tsinghua University combines brain data with autonomous driving software through a deep reinforcement learning algorithm. When passengers show elevated stress levels, vehicles automatically shift to more conservative driving modes. This approach outperformed traditional methods in learning speed, safety, and comfort during testing.