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基于深度学习的路面病害检测算法研究及应用 李松洋 en-US by Sadid Rahman is a document available to read on EtoBox.
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This thesis by Li Songyang focuses on the research and application of deep learning-based algorithms for detecting pavement defects, addressing inefficiencies in traditional inspection methods. It proposes a YOLOv8-based model that improves detection accuracy and introduces a lightweight version to facilitate deployment on embedded devices. Additionally, an automated detection system is designed to enhance road maintenance efficiency by providing accurate defect information.
- Author
- Sadid Rahman
- Language
- EN