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Author

Chaymae Rami

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Open access Oct 2026

Robustness Evaluation of Lightweight YOLO Detectors for Traffic Monitoring Under Visual Corruptions and Adversarial Attacks

Reliable traffic-object detection remains challenging when visual conditions degrade or when the detector is exposed to adversarial perturbations. This study investigates these robustness challenges through a systematic evaluation of lightweight YOLO detectors for intelligent traffic monitoring. Several nano-scale vari...

Chaymae Rami, Siham Essahraui, Ibrahim Ouahbi et al. · 0 citations
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. · 0 citations

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