多传感器融合框架可靠的定位和轨迹跟踪移动机器人通过整合UWB,口径测量和AHRS
Quoc-Khai Tran1, Young-Jae Ryoo2
1Faculty of Electrical and Electronics Engineering, Vietnam Aviation Academy, Ho Chi Minh City 70000, Vietnam.
Biomimetics (Basel, Switzerland)
|July 25, 2025
概括
这项研究介绍了一种强大的多传感器融合系统,用于精确的室内移动机器人定位. 通过结合超宽带 (UWB) 和态度和定位参考系统 (AHRS) 数据,它显著提高了导航准确性和可靠性.
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
- 室内导航系统 室内导航系统
背景情况:
- 准确的室内定位对于移动机器人导航至关重要.
- 像超宽带 (UWB) 三边化这样的现有方法可能容易产生噪音和漂移.
研究的目的:
- 开发和验证一个多传感器融合框架,用于增强室内定位和轨迹跟踪.
- 为了提高差速驱动移动机器人定位的稳定性和准确性.
主要方法:
- 集成超宽带 (UWB) 三边化,车轮测距,以及态度和方向参考系统 (AHRS) 数据.
- 卡尔曼波器用于传感器数据融合的应用.
- 使用闭环轨迹试验进行实验验证.
主要成果:
- 与UWB-only定位相比,拟议的融合方法显著降低了噪声,并纠正了距离偏移.
- 在轨道重复中观察到更强的一致性和更低的动态时间扭曲 (DTW) 距离.
- 在室内环境中表现出卓越的定位准确性和稳定性.
结论:
- 多传感器融合框架有效地改善了移动机器人的室内定位和轨迹跟踪.
- 该系统适用于需要高精度和可靠性的实时导航应用.
- 传感器融合减轻了单个传感器的局限性,导致了更可靠的机器人定位.
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