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Updated: May 25, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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在白天和夜晚条件下使用YOLOv8进行交通信号检测和质量评估

Ziyad N Aldoski1,2, Csaba Koren2

  • 1Department of Highway and Bridge, Technical College of Engineering, Duhok Polytechnic University, Duhok 1006, Kurdistan Region, Iraq.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

这项研究通过评估YOLOv8在各种条件下的性能来增强自动驾驶汽车的交通标志检测 (TSD) 和分类 (TSC). 研究结果强调了信号反射率和材料质量对于可靠的检测的重要性,特别是在夜间.

关键词:
这就是YOLOv8算法.自动驾驶汽车是自动驾驶的摄像机的摄像头传感器传感器人类评估人类评价具有反向反射的反射性.交通安全 交通安全 交通安全交通标志检测 交通标志检测

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