A Stereo Matching Approach to Detect Obstacle in ALV System

Xia Yongquan, Zhi Jun, Huang Min, Liu Weili, Ma Rui
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引用次数: 1

Abstract

In ALV system based on stereo vision, the obstacle detection is one of the most important problems. In this paper, an algorithm is proposed based on moment invariant to detect obstacle in ALV system. Firstly, a simple method is applied to binarize the images by the defined binarization function; Secondly, the binarized images are segmented using outer contour tracing algorithm and regions of left and right images are detected respectively; Lastly, the regions are matched between left and right image, the successful matched regions are the likely obstacle. Stereo pairs captured from ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.
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ALV系统中障碍物检测的立体匹配方法
在基于立体视觉的自动驾驶汽车系统中,障碍物检测是最重要的问题之一。本文提出了一种基于矩不变的自动驾驶汽车系统障碍物检测算法。首先,采用一种简单的方法,通过定义二值化函数对图像进行二值化;其次,利用外轮廓跟踪算法对二值化后的图像进行分割,分别检测左右图像的区域;最后,在左右图像之间进行区域匹配,匹配成功的区域为可能的障碍物。利用从ALV系统捕获的立体图像对所提算法进行了测试,结果表明该方法是有效可行的。
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