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A Tsinghua study uses brain scans to let self-driving cars adapt in real time, boosting safety and comfort.
A Tsinghua University study shows that monitoring passengers' brain activity using fNIRS can help self-driving cars adjust driving behavior in real time.
When passengers show stress or risk awareness, the car shifts to a safer mode via deep reinforcement learning, improving safety and comfort.
The system was tested in simple scenarios with a small group, so results may not apply to all conditions.
Researchers plan to expand testing to complex environments and combine brain data with vehicle sensors.
Findings were published in Cyborg and Bionic Systems, suggesting potential for more intuitive, emotion-aware autonomous vehicles in the future.
Un estudio de Tsinghua utiliza escáneres cerebrales para permitir que los coches autónomos se adapten en tiempo real, aumentando la seguridad y el confort.