Driver Drowsiness Detection on the Edge
A comparative evaluation of several state-of-the-art deep learning models for drowsiness detection, including convolutional and transformer-based architectures, across multiple public datasets and a custom-compiled dataset reveals significant performance variability across datasets, indicating limited generalization be...