基于3D激光点云的移动机器人行驶环境描述
Mobile Robot Travel Environment Description Based on 3D Laser Point Cloud
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摘要: 针对移动机器人在复杂环境中的自主导航行驶问题,提出了一种基于3D激光点云数据的行驶环境描述方法. 在对点云数据进行球、柱坐标转换的基础上,构建机器人环境感知圆柱,根据3D激光雷达的扫描序列,提取点云径、切向坡度特征,结合机器人的运动特性,分析行驶环境的可通行性,提取候选道路点云. 复杂行驶环境下的实验结果证明了此方法能够使机器人准确地对环境进行认知.Abstract: This paper presents a 3D laser point cloud-based description method of travel environment for mobile robot. Based on laser data coordinate transformation from sphere to cylinder, environment perception cylinder is configured. In the cylinder, terrain traversability in travel environment is analyzed with radial slope and tangential slope of point cloud, according to 3D lidar scanning sequence. Furthermore, candidate road point cloud can be obtained from the result of terrain description. Experimental results indicate that the method can make mobile robot recognize its travel environment correctly.
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