基于二维激光雷达的智能车辆结构道路检测

M. Feng, Peng Jia, Xiao Wang, Hongquan Liu, Jian Cao
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引用次数: 5

摘要

道路检测是智能汽车发展的关键环节。典型的机器视觉检测方法容易受到外界条件的影响,因此我们设计了一种新的激光雷达道路检测方法。考虑到智能车辆在不平整的道路、边缘异常的道路或与道路方向交叉行驶时可能遇到的麻烦,提出了一种矩形搜索算法来处理这些问题。在该算法中,根据矩形中所涉及的点的数量尽可能多,同时矩形的大小保持足够小的原则来求出矩形。在找到矩形后,引入基于标准差的算法从道路线中提取道路边缘点,从而从矩形中得到道路线。实验结果验证了该算法的有效性和有效性。
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Structural Road Detection for Intelligent Vehicle Based on a 2d Laser Radar
Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running crosswise with the road direction, we present a method named rectangle-searching algorithm to deal with these problems. In this algorithm, a rectangle is found out by the basis that the number of points involved in the rectangle should be as many as possible, while the size of the rectangle should keep small enough. After finding out the rectangle, an algorithm based on standard deviation is introduced to extract road edge points from road lines, which may help getting the road line from the rectangle. Experimental results validate efficiency and effectiveness of the algorithm.
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