Localization with Particle Filter Based on Odometer and UWB

P. O. Ekim
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Abstract

In this paper, the particle filter structure that uses odometer and Ultra-wide band (UWB) sensors for positioning autonomous ground vehicles used in confined spaces was investigated. Accordingly, UWB sensor packages written for Turtlebot3 libraries are mentioned. The positioning algorithm has been evaluated both in simulation environment using Robot Operating System (ROS) and in real test environment. Positioning accuracy is sufficient for practical applications, but as the number of reference sensors increases, results with better precision are obtained.
基于里程表和超宽带的粒子滤波定位
本文研究了使用里程计和超宽带传感器的粒子滤波结构,用于在密闭空间中定位自主地面车辆。因此,提到了为Turtlebot3库编写的UWB传感器包。在机器人操作系统(ROS)的仿真环境和实际测试环境中对该定位算法进行了评估。定位精度在实际应用中是足够的,但随着参考传感器数量的增加,可以得到精度更高的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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