The road segmentation for ALV navigation

Jian-Ping Liu, Han-Gen He, Yu-Fei Liu, Ai-Min Huan, Zeng Gao, Xiao Lin Liu
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Abstract

In this paper, we present a study on the visual navigation for a mobile robot. We perform the boundary detecting and color cluster techniques respectively to segment the road and nonroad. We propose a conception about useful information to decrease the computation, and compose the information with a special color coordinate base and the geometrical feature into a hybrid feature space to improve the color clustering.<>
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自动驾驶汽车导航的道路分割
本文对移动机器人的视觉导航进行了研究。我们分别使用边界检测和颜色聚类技术来分割道路和非道路。为了减少计算量,我们提出了有用信息的概念,并将有用信息与特定的颜色坐标基和几何特征组成混合特征空间,以提高颜色聚类的性能。
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