Research on detection method for geometrical parameters of catenary system based on mean shift and particle filter algorithm

被引：0

作者：

Liu, Wen-Qiang ^{[1
]}

Liu, Zhi-Gang ^{[1
]}

Geng, Xiao ^{[1
]}

Han, Zhi-Wei ^{[1
]}

机构：

[1] School of Electric Engineering, Southwest Jiaotong University, Chengdu

来源：

Tiedao Xuebao/Journal of the China Railway Society | 2015年 / 37卷 / 11期

关键词：

Catenary; Conductor height; Detection; Mean shift; Particle filter; Stagger;

D O I：

10.3969/j.issn.1001-8360.2015.11.005

中图分类号：

学科分类号：

摘要：

With the publishing of 6C technology specification for high-speed rail detection monitoring system, the non-contact detection methods based on visual technologies for catenary system have received attention from researchers in the industry. To improve the real-time performance of tracking and positioning of laser spot on the contact line and the accuracy of the measured values, a new detection method for geometrical parameters of catenary system based on the mean shift and particle filter algorithm was proposed. Firstly, the model of laser spot target was established according to the feature distribution of gray color histogram and “Zigzag” structure of the catenary system. Secondly, the particles were clustered using the clustering method while iterative calculation was conducted under the mean shift algorithm with cluster center as a starting point. The image coordinates of spot target were located by applying the particle filter algorithm for the iterative calculation results. Then, space transformation was conducted for the coordinates of laser spots in the image coordinate system to obtain the conductor height and stagger measurement values of catenary geometrical parameters in the world-coordinate system. Finally, the real-time performance and accuracy of the proposed method was verified based on the real operation data of detection vehicle in the test segment of a traction power supply section. © 2015, Science Press. All right reserved.

引用

页码：30 / 36

页数：6

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