A tri-modal attention-fused classifier (road video, driver face, audio) reaches 96.875% accuracy on the authors' own simulated driving hazard dataset, outperforming unimodal and bimodal variants.
Real time detection system of driver drowsiness based on representation learning using deep neural networks.Journal of Intelligent & Fuzzy Systems, 36(3):1977– 1985, 2019
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Driver Assistance System Based on Multimodal Data Hazard Detection
A tri-modal attention-fused classifier (road video, driver face, audio) reaches 96.875% accuracy on the authors' own simulated driving hazard dataset, outperforming unimodal and bimodal variants.