Machine Vision-Based Driver Distraction Detection and Recognition

This paper presents a driver distraction detection method based on the improved YOLOv11n model. The proposed method incorporates several optimization modules to enhance the original YOLOv11n architecture. First, the P2, P3, and P4 detection heads are replaced with RSCD detection heads, and the P5 de...

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Vydané v:	2025 5th International Conference on Sensors and Information Technology s. 727 - 730
Hlavní autori:	Xie, Xiao, Zhang, Hong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.03.2025
Predmet:	Accuracy Attention mechanism Attention mechanisms Computational modeling Deep learning Driver behavior recognition Load modeling Magnetic heads Object detection Object detection algorithms Road safety Sensor systems Sensors Vehicles
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