铁道标准设计2026，Vol.70Issue(6)：184-191,8.DOI:10.13238/j.issn.1004-2954.202409100005
基于雷视融合的高铁周界人员入侵检测方法
Personnel Intrusion Detection Method for High-Speed Railway Perimeter Based on Radar-Camera Fusion
摘要
Abstract
[Objective]In recent years,safety issues in high-speed railway operation remain severe.Railway incidents caused by intrusion of personnel or foreign objects into the perimeter occur frequently,seriously disrupting the order of train operation.The perimeter of high-speed railways requires protection under severe weather conditions such as heavy rainfall and dense fog,as well as throughout the entire period.Due to the unique advantages of all-weather and all-time precise monitoring,millimeter-wave radar has become the preferred sensor for perimeter monitoring under harsh weather conditions.The perimeter intrusion monitoring of High-speed Railways is characterized by long distance,diverse climatic conditions,complex terrain,and high monitoring accuracy requirements.Therefore,a personnel intrusion monitoring method is proposed based on the fusion of millimeter-wave radar and camera.[Methods]First,a method combining millimeter-wave radar and dome camera was utilized to achieve the focused magnification of long-distance targets,thereby improving the imaging performance of such targets.Then,to improve the performance of video recognition under harsh weather conditions,a target detection method based on weather identification was proposed.This method used the YOLOv9 network for weather identification,and correlated the identification results with the weight coefficients of the target detection network,thereby enhancing the accuracy of video recognition under adverse weather conditions.Moreover,a fusion detection algorithm based on target tracking was proposed,which generated alarm results using the continuous tracking capability of millimeter-wave radar in the case of image distortion,thereby improving the accuracy of fusion recognition.[Results]A total of 1 540 tests were conducted at a test site simulating harsh weather conditions,including 1 320 personnel intrusion tests under rainy and foggy conditions and 220 interference tests without intrusion.The results showed that this method could meet the requirements of personnel intrusion alarm within 200 meters under rainfall of 30 mm/h or less,as well as under heavy fog weather conditions,with a missed alarm rate of 0％and a false alarm rate of 3.2％.[Conclusion]Mainline tests conducted on the Chongqing-Kunming high-speed railway show that all intrusion events are correctly alarmed,demonstrating that the proposed method based on the fusion of radar and camera can meet the requirements of perimeter intrusion detection.关键词
高速铁路/行车安全/周界入侵/雷视融合/人员检测/零漏报Key words
high-speed railway/operation safety/perimeter intrusion/radar-camera fusion/personnel detection/zero missed alarm分类
交通工程引用本文复制引用
郭鹏跃,史天运,王瑞,马祯,张万鹏..基于雷视融合的高铁周界人员入侵检测方法[J].铁道标准设计,2026,70(6):184-191,8.基金项目
国家自然科学基金项目(U2268617) （U2268617）
国家重点研发计划项目(2022YFB4300604) （2022YFB4300604）
