A new method for obstacle detection in ITS

G. Jiang, Mei Yu, Sai-Long He, Shoudong Shi, Xiao Liu
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引用次数: 4

Abstract

In a 2D road image, vertical edges of a vehicle still keep vertical and do not converge, therefore obstacle detection can be performed in the 2D image plane. With the help of the detected lane structure, two obstacle detection schemes are given. One uses edge detection and binary rank order filtering (BROF) techniques for the cases of normal luminance, the other utilizes weighted mean filter and region identification to detect regions of vehicle tail lights in the evening or at night. Experimental analyses are. given, and longitudinal distance of a vehicle is obtained.
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ITS中障碍物检测的新方法
在二维道路图像中,车辆的垂直边缘仍然保持垂直且不收敛,因此可以在二维图像平面上进行障碍物检测。利用检测到的车道结构,给出了两种障碍物检测方案。一种是在正常亮度情况下使用边缘检测和二值秩阶滤波(BROF)技术,另一种是在傍晚或夜间使用加权均值滤波和区域识别来检测车辆尾灯的区域。实验分析如下。,得到车辆的纵向距离。
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