A Singhua研究利用脑扫描让自驾汽车实时适应, 提升安全和舒适。 A Tsinghua study uses brain scans to let self-driving cars adapt in real time, boosting safety and comfort.

Tsinghua大学的一项研究表明,使用FNIRS来监测乘客的大脑活动,可以帮助自行驾驶的汽车实时调整驾驶行为。 A Tsinghua University study shows that monitoring passengers' brain activity using fNIRS can help self-driving cars adjust driving behavior in real time. 当乘客表现出压力或风险意识时,汽车通过深层强化学习、提高安全和舒适度而转向更安全的方式。 When passengers show stress or risk awareness, the car shifts to a safer mode via deep reinforcement learning, improving safety and comfort. 该系统在简单假设情景中与一个小群体进行了测试,因此结果可能不能适用于所有条件。 The system was tested in simple scenarios with a small group, so results may not apply to all conditions. 研究人员计划将测试扩大到复杂的环境,并将大脑数据与车辆传感器相结合。 Researchers plan to expand testing to complex environments and combine brain data with vehicle sensors. 研究结果在Cyborg和Bionic Systems中发表,表明今后有可能有更直观、更感性、更能意识到情绪的自治车辆。 Findings were published in Cyborg and Bionic Systems, suggesting potential for more intuitive, emotion-aware autonomous vehicles in the future.