东南大学学报（英文版）2025，Vol.41Issue(2)：207-214,8.DOI:10.3969/j.issn.1003-7985.2025.02.010
融合KLT特征跟踪与扩展卡尔曼滤波的振动台钢轨位移测量
Rail displacement measurement in shaking table tests via a method integrating KLT feature tracker and extended Kalman filter
摘要
Abstract
Shaking table tests are widely used to evaluate seismic effects on railway structures,but accurately measur-ing rail displacement remains a significant challenge owing to the nonlinear characteristics of large displacements,ambi-ent noise interference,and limitations in displacement meter installation.In this paper,a novel method that integrates the Kanade-Lucas-Tomasi(KLT)feature tracker with an ex-tended Kalman filter(EKF)is presented for measuring rail displacement during shaking table tests.The method em-ploys KLT feature tracker and a random sample consensus algorithm to extract and track key feature points,while EKF optimally estimates dynamic states by accounting for system noise and observation errors.Shaking table test results dem-onstrate that the proposed method achieves an acceleration root mean square error of 0.300 m/s2 and a correlation with accelerometer data exceeding 99.7%,significantly outper-forming the original KLT approach.This innovative method provides a more efficient and reliable solution for measuring rail displacement under large nonlinear vibrations.关键词
振动台试验/钢轨位移/计算机视觉/KLT特征跟踪/扩展卡尔曼滤波Key words
shaking table test/rail displacement/computer vision/Kanade-Lucas-Tomasi(KLT)feature tracker/ex-tended Kalman filter(EKF)分类
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王欢,陈若曦,叶珊杉,陈泽琦,赵飞..融合KLT特征跟踪与扩展卡尔曼滤波的振动台钢轨位移测量[J].东南大学学报（英文版）,2025,41(2):207-214,8.基金项目
The National Key Research and Development Pro-gram of China(No.2021YFB2600600,2021YFB2600601),the Na-tional Natural Science Foundation of China(No.52408456),China Postdoctoral Science Foundation(No.2022M720533),College Stu-dents'Innovative Entrepreneurial Training Plan Program(No.202410710009),Key Research and Development Program of Shaanxi,China(No.2024SF-YBXM-659). （No.2021YFB2600600,2021YFB2600601）
