使YOLO,

Cong Wang1, Bin Zheng2, Chenxing Li3

  • 1School of Information and Electrical Engineering, Panzhihua University, Panzhihua, 617000, China.

Scientific reports
|April 20, 2025
PubMed
概括

本研究介绍了一种优化的YOLOv5交通标志识别 (TSR) 框架,改进了小型目标检测和自动驾驶的实时性能. 改进后的系统在各种条件下实现了高精度和稳定性.

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