智能科学与技术学报2024，Vol.6Issue(3)：367-380,14.DOI:10.11959/j.issn.2096-6652.202427
基于视觉的列车轨道缺陷检测综述
Survey on vision-based railway track defect detection
摘要
Abstract
The detection of train track defects is of great significance to the safety of rail transportation,but current manual inspection can no longer meet the complex and heavy track inspection requirements.Deep learning methods have greatly expanded the means and detection capabilities of defect detection,and in order to improve the efficiency and quality of surface defect detection,the current trends of visual detection methods in conjunction with the types and related attributes of track defects was systematically analyzed.The basic principles,technologies,methods,and current application status of visual detection methods for track and fastening defects,as well as the concepts,applications,and significance of these detection methods were elaborated.Finally,the current trends in the field of track defect detection are analyzed and summa-rized,and for the first time proposes the concept of a fully automatic track maintenance system,which aims to provide use-ful support and reference for future related research.关键词
轨道交通安全/轨道缺陷/图像识别/深度学习Key words
rail transportation safety/rail detect/image recognition/deep learning分类
信息技术与安全科学引用本文复制引用
陈天炎,韩泽明,黄允浒,石金进,陈德旺..基于视觉的列车轨道缺陷检测综述[J].智能科学与技术学报,2024,6(3):367-380,14.基金项目
福建省第三批创新之星人才计划项目(No.003002) （No.003002）
福建省交通运输科技项目(No.2020030) （No.2020030）
福建船政交通职业学院科教发展基金项目(No.20220201) The Third Batch of Innovation Star Talent Program of Fujian Province(No.003002),Fujian Provincial Transpor-tation Science and Technology Project(No.2020030),Science and Education Development Fund of Fujian Shipbuilding and Trans-portation Vocational College(No.20220201) （No.20220201）
