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Research and Implementation of SLAM Based on LIDAR for Four-Wheeled Mobile Robot

机译:基于LIDAR的四轮移动机器人SLAM的研究与实现

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Aiming at the high hardware cost of simultaneous positioning and mapping (SLAM) for mobile robots, a mobile robot system using LIDAR(Light Detection and Ranging) for obtaining date observing is designed. The experiments Based on robotic operating system (ROS), using laser radar to acquire 2D laser scanned matching data and an open source GMapping software package for SLAM, RVIZ (3D visualization tool for ROS) is adopted to achieve indoor mapping in an unknown environment. The experimental results show that the mobile robot designing scheme is feasible, and it can construct a high-precision map, meanwhile it also reduces the hardware cost of the mobile robot SLAM.
机译:针对移动机器人同时定位和定位(SLAM)的高硬件成本,设计了一种使用LIDAR(光检测和测距)获取日期观测值的移动机器人系统。实验基于机器人操作系统(ROS),使用激光雷达获取2D激光扫描匹配数据,并为SLAM使用开源GMapping软件包,采用RVIZ(ROS的3D可视化工具)在未知环境中实现室内制图。实验结果表明,该移动机器人设计方案是可行的,可以构建高精度的地图,同时也降低了移动机器人SLAM的硬件成本。

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