.

Luxin Fan1, SaiHong Tang2, Mohd Khairol Anuar B Mohd Ariffin3

  • 1Faculty of Engineering, Universiti Putra Malaysia UPM, Serdang, 43400, Selangor, Malaysia. gs59924@student.upm.edu.my.

Scientific reports
|February 20, 2026
PubMed
概括

本研究介绍了Crack-YOLO,这是一款用于智能基础设施维护的快速而准确的道路裂检测系统. 这种轻量级模型在复杂环境中显著提高了检测性能,超过了现有的方法.

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