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...

Full description

Bibliographic Details

Published in:	2025 5th International Conference on Sensors and Information Technology pp. 727 - 730
Main Authors:	Xie, Xiao, Zhang, Hong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.03.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!