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EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Reliable risk assessment remains a central challenge for Autonomous Vehicles (AVs). Despite advances in automation, passenger cognition provides a non-intrusive auxiliary signal that improves both objective and perceived safety without requiring active human intervention. We introduce an Electroence
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