Rail Detection Based on LSD and the Least Square Curve Fitting
Yun-Shui Zheng1,2; Yan-Wei Jin2
刊名International Journal of Automation and Computing
2021
卷号18期号:1页码:85-95
关键词Rail inspection line segment detector (LSD) algorithm the least square curve fitting foreign object detection
ISSN号1476-8186
DOI10.1007/s11633-020-1241-4
英文摘要It is necessary to rely on the rail gauge to determine whether the object beside the track will affect train operation safety or not. A convenient and fast method based on line segment detector (LSD) and the least square curve fitting to identify the rail in the image is proposed in this paper. The image in front of the train can be obtained through the camera on-board. After preprocessing, it will be divided equally along the longitudinal axis. Utilizing the characteristics of the LSD algorithm, the edges are approximated into multiple line segments. After screening the terminals of the line segments, it can generate the mathematical model of the rail in the image based on the least square. Experiments show that the algorithm in this paper can fit the rail curve accurately and has good applicability and robustness.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/42456]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Automation Research Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
2.College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
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GB/T 7714
Yun-Shui Zheng,Yan-Wei Jin. Rail Detection Based on LSD and the Least Square Curve Fitting[J]. International Journal of Automation and Computing,2021,18(1):85-95.
APA Yun-Shui Zheng,&Yan-Wei Jin.(2021).Rail Detection Based on LSD and the Least Square Curve Fitting.International Journal of Automation and Computing,18(1),85-95.
MLA Yun-Shui Zheng,et al."Rail Detection Based on LSD and the Least Square Curve Fitting".International Journal of Automation and Computing 18.1(2021):85-95.
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