Rail Detection Based on LSD and the Least Square Curve Fitting
文献类型：期刊论文
| 作者 | Yun-Shui Zheng1,2; Yan-Wei Jin2 |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 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 |
| DOI | 10.1007/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. |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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