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Updated: Jan 13, 2026

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POP-YOLOv8:在夜间交通环境中为部分封闭的行人提供一个物体检测框架

Hao Liu1,2, Ziyin Zhang1,2, Bingyin Feng3,4

  • 1Department of Automotive Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, 054000, China.

Scientific reports
|January 7, 2026
PubMed
概括

本研究介绍了POP-YOLOv8,这是一个先进的物体检测模型,用于在夜间交通中识别行人. 它在低光,封闭条件下显著提高了准确性和效率,提高了驾驶安全.

关键词:
增强亮度 增强亮度的增强深度学习是一种深度学习.轻量级神经网络是一种轻量级的神经网络.夜间的交通场景.部分闭塞部分闭塞步行者检测系统可以检测行人.

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