Fig. 11 | Scientific Reports

Fig. 11

From: Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems

Fig. 11

Annotated detection examples from the integrated CNN-YOLO system under real-world adverse conditions. a Simulated CNN output for driver distraction detection: Texting (94.7%), Category: Manual Distraction. b YOLO-based detection under foggy conditions showing bounding boxes and confidence scores for detected hazards such as pedestrians and vehicles.

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