AI RESEARCH
Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving
arXiv CS.LG
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ArXi:2604.19368v1 Announce Type: cross Predicting driver intention from neurophysiological signals offers a promising pathway for enhancing proactive safety in advanced driver assistance systems, yet remains challenging in real-world driving due to EEG signal non-stationarity and the complexity of cognitive-motor preparation. This study proposes and evaluates an EEG-based driver intention prediction framework using a synchronised multi-sensor platform integrated into a real electric vehicle.