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TFF-Net:一种基于特征融合图形神经网络的车辆类型识别方法,用于低光条件

Huizhi Xu1, Wenting Tan1, Yamei Li1

  • 1School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
概括

本研究介绍了双流特征融合图神经网络 (TFF-Net),用于在低光条件下准确识别车辆类型,提高智能交通系统的性能.

关键词:
这是一个YOLO YOLO.图表注意力网络 图表注意力网络在低光照明条件下.车辆类型识别系统 车辆类型识别系统

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