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A Coarse-to-Fine Detection Method of Pantograph-Catenary Contact Points Using DCNNs

机译：使用DCNN的Pantograph-Catenary接触点的粗致细化检测方法

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The pantograph catenary system is an important part of the traction power supply system. In order to monitor the dynamic parameters of the rigid catenary accurately in real-time, we propose a new coarse-to-fine approach to locate and detect the pantograph-catenary contact points using DCNNs. For the contact area, which is relatively small enough for the target region, we refer to a real-time object detection method with both speed and accuracy advantages, YOLOv3. And then based on the geometric relationship between the pantograph and the catenary, we use Hoff line detection to achieve accurate detection of contact points. Our method consists of two stages. We first train Yolov3 to detect the local region of the contact points accurately by using the pantograph-catenary datasets. Obtained images of the coarse region detection, we then choose the canny edge detection and Hough transformation to detection the pantograph-catenary contact points. The experiment results from two video datasets show that our proposed method can accurately track the pantograph-catenary contact points by the continuous detection, which could provide research refers to the real-time automatic monitoring of the pantograph-catenary system.
机译：PINTORAL CATENARY系统是牵引电源系统的重要组成部分。为了实时地监控刚性脉链状的动态参数，我们提出了一种新的粗良好的方法来定位和检测使用DCNN的接触映射触点接触点。对于目标区域足够少的接触区域，我们指的是速度和精度优势的实时对象检测方法，YOLOV3。然后基于受电弓和延伸的几何关系，我们使用霍夫线检测来实现准确地检测接触点。我们的方法由两个阶段组成。我们首先通过使用Pantograph-CateAry数据集预定yolov3来检测接触点的局部区域。获得了粗地区检测的图像，然后选择罐头边缘检测和霍夫变换以检测接触仪关联的接触点。来自两个视频数据集的实验结果表明，我们的提出方法可以通过连续检测准确地跟踪受限触摸扰乱的接触点，这可以提供研究是指对电平耦合系统的实时自动监测。

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