Locator slope calculation via deep representation based on monocular vision | |
Yang Y(杨阳)![]() | |
刊名 | Neural Computing and Applications
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2017-10 | |
期号 | 10页码:1-12 |
关键词 | Slope Calculation Locator Detection Convolution Neural Networks Monocular Vision |
DOI | 10.1007/s00521-017-3229-8 |
英文摘要 | The locator is the key component to control the track of contact wire in Overhead Catenary System (OCS) for high-speed railway. Once the locator slope is out-of-bound, it would pose a huge hazard to the safety of the high-speed trains and threat to the human life and property damage. In this work, a novel end-to-end locator slope calculation framework is presented for locator slope real-time inspection in high-speed railway system. The pipeline is composed of two stages: locator contour detection and slope calculation. In order to precisely detect the locator contours in OCS images captured from high-speed extreme environments, a novel detection mechanism including rough detection and fine fitting is proposed. For the fast slope calculation through only one camera, monocular vision model is modified by two novel assumptions to calculate the locator space coordinates. Rigorous experiments are performed across a number of standard locator slope calculation benchmarks, showing a large improvement on the precision and speed over all previous methods. Finally, the effectiveness of proposed framework is demonstrated through a real-world application of the high-speed rail OCS inspection system. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/15671] ![]() |
专题 | 精密感知与控制研究中心_人工智能与机器学习 |
通讯作者 | Zhang WS(张文生) |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yang Y,Zhang WS,He ZW,et al. Locator slope calculation via deep representation based on monocular vision[J]. Neural Computing and Applications,2017(10):1-12. |
APA | Yang Y,Zhang WS,He ZW,Chen DJ,&张文生.(2017).Locator slope calculation via deep representation based on monocular vision.Neural Computing and Applications(10),1-12. |
MLA | Yang Y,et al."Locator slope calculation via deep representation based on monocular vision".Neural Computing and Applications .10(2017):1-12. |
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