东南大学学报（英文版）2025，Vol.41Issue(3)：356-365,10.DOI:10.3969/j.issn.1003-7985.2025.03.011
基于模糊边缘引导和旋转高斯函数的道岔路段钢轨定位无锚框网络
Fuzzy boundary guidance and oriented Gaussian function-based anchor-free network for rail positioning in turnout sections
摘要
Abstract
Rail positioning is a critical step for detecting rail defects downstream.However,existing orientation-based detectors struggle to effectively manage rails with arbitrary inclinations and high aspect ratios,particularly in turnout sections.To address these challenges,a fuzzy boundary guidance and oriented Gaussian function-based anchor-free network termed the rail positioning network(RP-Net)is proposed for rail positioning in turnout sections.First,an oriented Gaussian function-based label generation strategy is introduced.This strategy produces smoother and more accu-rate label values by accounting for the specific aspect ratios and orientations of the rails.Second,a fuzzy boundary learning module is developed to enhance the network's abil-ity to model the rail boundary regions effectively.Further-more,a boundary guidance module is developed to direct the network in fusing the features obtained from the downs-ampled network output with the boundary region features,which have been enhanced to contain more refined posi-tional and structural information.A local channel attention mechanism is integrated into this module to identify critical channels.Finally,experiments conducted on the tracking dataset show that the proposed RP-Net achieves high posi-tioning accuracy and demonstrates strong adaptability in complex scenarios.关键词
钢轨定位/标签生成/边缘引导/旋转目标检测Key words
rail positioning/label generation/boundary guidance/oriented object detection分类
信息技术与安全科学引用本文复制引用
仝淑贞,王庆,路小波..基于模糊边缘引导和旋转高斯函数的道岔路段钢轨定位无锚框网络[J].东南大学学报（英文版）,2025,41(3):356-365,10.基金项目
Major Scientific Research Projects of China Rail-way Group(No.K2019G046),the National Key Research and Devel-opment Program of China(No.2020YFB1600700). （No.K2019G046）
