Open access
Jul 2026
A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference.
Experiments on the State Farm Distracted Driver Detection dataset show that MobileNetV3-Large provides the best trade-off among the evaluated lightweight models, demonstrating a practical balance between unseen-driver generalization, interpretability, and real-time embedded inference.
Siham Essahraui, Chaymae Rami, Khalid El Makkaoui et al.
· Scientific Reports · 0 citations