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一个UWB-Ego-Motion粒子过器用于使用移动地平线假设对地面机器人的室内姿势估计
Yuri Durodié1,2, Thomas Decoster1,2, Ben Van Herbruggen2,3
1Brubotics, Vrije Universiteit Brussel, 1050 Ixelles, Belgium.
这项研究引入了颗粒过器,为机器人提供精确的实时定位和定向,在GPS被拒绝的地区使用超宽带 (UWB) 技术. 该方法纠正传感器漂移,在视线条件下达到厘米级准确度.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 传感器融合式传感器
- 定位局部化 定位局部化
背景情况:
- 机器人需要精确的定位和方向,以便在没有GPS的环境中进行自主导航.
- 像测距和IMU这样的现有方法遭受漂移,磁力计在这样的环境中不可靠.
- 超宽带 (UWB) 提供实时定位,但缺乏方向信息.
研究的目的:
- 开发一种强大的算法,用于实时机器人定位和定位估计在GPS被拒绝的环境中.
- 克服传统传感器 (测距,IMU,磁力计) 在漂移和不可靠性方面的局限性.
- 将UWB测量与自我运动估计相结合,以准确地确定姿势.
主要方法:
- 一个轻量级的颗粒过器被设计用于实时计算.
- 颗粒过器通过UWB测量来纠正自我运动方向和位置漂移.
- 一个移动的地平线时间框架被用于连续漂移的纠正.
主要成果:
- 该算法在四个UWB的情况下,在视线 (LOS) 条件下,实现了13厘米的位置和0.12半径的方向的根平均平方误差 (RMSE).
- 在LOS场景中证明实时位置和定向提供机器人行动.
- 在视线 (LOS) 和非视线 (NLOS) 实验条件下验证的稳定性.
结论:
- 拟议的颗粒过器有效地集成UWB数据,为无GPS环境中的机器人提供准确的实时姿势信息.
- 该方法成功地纠正了传感器漂移,提高了导航能力.
- 该算法强大,适用于面临本地化挑战的现实世界机器人应用程序.
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