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Track Gauge Measurement Method Based on Least-square Curve Fitting Theory

被引：0
|
作者：
Shi H. [1 ]
Xu M. [2 ]
Yu Z. [1 ]
机构：
[1] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
[2] Signal & Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing
来源：
Tiedao Xuebao/Journal of the China Railway Society | 2019年 / 41卷 / 12期
关键词：
ICP algorithm; Laser scanning sensor; Least-square curve fitting; Track gauge measurement;
D O I：
10.3969/j.issn.1001-8360.2019.12.011
中图分类号：
学科分类号：
摘要：
Track gauge is an important indicator to guide the track maintenance and to ensure the operation safety of the train. Based on laser triangulation principle, a track gauge measurement system installed on a track detection trolley was developed, where two sets of 2-D laser scanning sensors were assembled to collect the profile data of the left and right rails. The improved ICP algorithm was employed to calibrate the sensors data, followed by the use of an adaptive filtering algorithm to smooth the contour. In order to improve the positioning accuracy of the track gauge feature points, a method based on the least-square theory to fit the curve of the top of the rail was presented, to find feature points on the continuous contour curve and eliminate the errors caused by the inaccurate positioning of the discrete contour points. The experiment results show that the proposed method can effectively improve the track gauge measurement accuracy with accuracy error in the range of ±1 mm, which meets the railway maintenance standards. © 2019, Department of Journal of the China Railway Society. All right reserved.
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页码：81 / 88
页数：7
相关论文
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