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基于双目视觉系统的列车轨道异物距离检测
引用本文:马海民. 基于双目视觉系统的列车轨道异物距离检测[J]. 自动化与仪器仪表, 2009, 0(4): 47-49,56
作者姓名:马海民
作者单位:兰州交通大学电子与信息工程学院,兰州,730070
摘    要:在线检测列车与轨道异物问的距离并为驾驶员提供减速信息对于行车安全具有重要意义。本文提出了一种基于双目视觉系统的列车轨道异物距离检测方法。通过对在机车上架设的摄像机获得的双目图像中待测目标对应点的准确匹配,应用双目视觉系统原理,根据左右视觉图像的视差实现机车与异物间距离的计算。

关 键 词:双目视觉系统  视差  特征点检测  特征点匹配

Measurement of distance between train and intrusive foreign materials on railway based on binocular vision system
MA Hai-min. Measurement of distance between train and intrusive foreign materials on railway based on binocular vision system[J]. Automation & Instrumentation, 2009, 0(4): 47-49,56
Authors:MA Hai-min
Abstract:It is significant to treasure the distance between Train and Intrusive Foreign Materials on Railway to provide deceleration information for driver. The paper presents a method for the measurement of the distance based on binocular vision system. Corresponding points of objects in binocular images obtained by binocular camera mounted on train are accurately matched. According to the theory of binocular vision system, the distance between wain and intrusive foreign materials can be computed with disparity of left and right visual patterns.
Keywords:Binocular vision system  Disparity  Detection of feature points  Matching of feature points
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