基于摄像机信息的八叉树三维可视化映射

Ben-Li Wang, N. Houshangi
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引用次数: 0

摘要

本文提出了一种利用RGB-D相机采集数据进行可视化的ORB-SLAM算法。首先使用直通过滤器处理收集到的点云数据。统计过滤器用于去除稀疏的异常值。此后,使用体素过滤器执行下采样。根据实际情况适当增加采样量。经过上述数据处理后,利用Octomap在Rviz中利用机器人操作系统(Robot Operating System, ROS)平台提供的服务将信息可视化,构建三维地图。该可视化方法可用于机器人自主导航的初步地图构建和三维扫描仪的三维建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Octree 3D Visualization Mapping based on Camera Information
In this paper, an ORB-SLAM algorithm using RGB-D camera collects data for visualization. The collected point cloud data is first processed using a pass-through filter. Statistical filters are used to remove sparse outliers. Thereafter, downsampling is performed using a voxel filter. Increase the sampling amount appropriately according to the actual situation. After mentioned data processing, Octomap is used to visualize the information in Rviz with services provided in Robot Operating System (ROS) platform to build a three-dimensional map. This visualization approach can be applied to preliminary map construction for robot autonomous navigation and 3D modeling of 3D scanner.
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