A DRL braking controller uses RNN-detected drowsiness from ECG to adjust for action delays and achieves 99.99% collision avoidance in CARLA simulation.
Human-vehicle interaction to support driver’s situation awareness in automated vehicles: A systematic review
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Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety
A DRL braking controller uses RNN-detected drowsiness from ECG to adjust for action delays and achieves 99.99% collision avoidance in CARLA simulation.