Deep learning on real-world EEG data achieves 90.7% accuracy in predicting driver intentions up to one second before maneuvers, with best performance from the TSCeption model.
Driving intention recognition of surrounding vehicles based on a time-sequenced weights hidden markov model for autonomous driving
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Mind2Drive: Predicting Driver Intentions from EEG in Real-world On-Road Driving
Deep learning on real-world EEG data achieves 90.7% accuracy in predicting driver intentions up to one second before maneuvers, with best performance from the TSCeption model.