基于超宽带通信技术的群体智能体定位算法

E. Stolov, N. Krinitsyn, V. Kurochkin, Maksim Murin, Ivan Shcherbakov
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引用次数: 0

摘要

机器人定位是自主移动机器人设计中的一项基本任务,因为实际位置数据是许多机器人算法的必要参数。数据获取多采用全球导航卫星系统(GNSS),误差可达5m。本文提出了一种改进的GNSS坐标细化算法及其测试结果。该算法基于GNSS坐标和通过超宽带(UWB)收发器接收的多个设备(这里是机器人)之间的距离数据。如果至少有一个设备具有高精度的GNSS数据,则可以在设备坐标系和全球坐标系中进行局部坐标细化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm of Agent Localization in a Group Using Ultra-Wideband Communication Technology
Robot localization is a fundamental task in autonomous mobile robot designing, since actual position data is a necessary parameter for many robot algorithms. Mostly, for the data obtaining, Global Navigation Satellite Systems (GNSS) are used which error can reach 5m. This article presents a developed GNSS coordinate refining algorithm and its testing results. The algorithm operation is based on GNSS coordinates and distance data between multiple devices (here robots) received through Ultra-Wide Band (UWB) transceivers. The coordinates can be refined locally in the device coordinate system and in the global coordinate system, if high-precision of GNSS data are available for at least one device.
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