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优化道路安全:轻量级YOLOv8模型和GhostC2f设计的进展,用于实时分心驾驶检测

Yingjie Du1, Xiaofeng Liu1, Yuwei Yi1

  • 1School of Automotive and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括

这项研究介绍了一种轻量级的YOLOv8模型,采用GhostC2f设计,以有效地检测分心驾驶. 改进后的模型提高了准确性,降低了计算负载,提高了道路安全.

关键词:
这是一个幽灵ConvConv.这就是YOLOv8n.注意力机制注意力机制驾驶时注意力分散开车.功能融合功能融合功能

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