机载激光雷达点云数据的实时渲染
Real-time Render Large Amount of LIDAR Point Clouds Data
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摘要: 提出了一种实时绘制大规模LIDAR点云数据的方法。该方法通过构建一棵顺序四叉树使点云均匀分布在四叉树节点上,来实现快速的数据筛选。阐述了顺序四叉树的快速建立,并通过一个试验系统验证了文中所提方法的有效性。试验表明,使用目前普通配置的计算机,通过自适应控制绘制的数据量,可以实时绘制约1GB的原始点云数据。Abstract: The authors propose a method to real-time render large amount of LIDAR points clouds. In order to fast culling invisible data and make result of progressive rendering reasonable, a sequential coded Quardtree is built with points clouds evenly distributed to nodes of every layer from top to down. The authors discussed the procedure of building a sequential coded QuardTree, explain how to add points clouds to nodes of tree. The authors also implement a system to prove the method proposed in this paper, which can real-time render 1GB raw point clouds( about 20 million points) data with common commodity computer.
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