关键词: 接触网检测, 线阵摄像机, 标定技术, 支持向量回归机

Abstract:

Electric locomotive obtains the power from contact wires along the railway. It is important to guarantee that the train can get the reliable power from the contact wires. Unfortunately, the contact detection approaches can have a huge abrasion on the measurement equipment and have a poor measurement accuracy on the contact wires. This paper, to overcome these limitations, uses a non-contact approach based on stereo vision technology. Support vector regression (SVR) is used to establish the corresponding relationship between spatial points to pixels from four linear array cameras. In details, it trains two SVRs by the pixel coordinates from four linear array cameras to predict the pull-out value and height of contact wires separately. It is the first time that SVR is used to calibrate the linear array camera. Significantly different from the existing methods based on many geometrical relationships, the proposed calibration method avoids plenty of parameters during calibration. The calibration process is quite simple and easy to operate. Besides, the method improves the detection accuracy since it simultaneously combines the information from more than two cameras. In real world applications, it proves that the measurement error meets the actual requirements, and it can avoid the problem that the error grows linearly with the distance increases.

Key words: contact wire detection, linear array camera, calibration technology, support vector regression