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.
Hybrid conditional random field based camera-lidar fusion for road detection.Information Sciences, 432:543–558, 2018
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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.