对于装载传感器测量无人机的一般化q-方法相对位置估计.
Kyl Stanfield1, Ahmad Bani Younes2, Mohammad Hayajneh3
1Guidance, Navigation, & Controls (GNC) Engineer, 5500 Campanile Drive, San Diego, CA 92182, USA.
Sensors (Basel, Switzerland)
|April 28, 2025
概括
一种新型的通用q-方法使用机载测量估计了飞机的姿势. 这种方法可以准确地确定无人机的位置和方向,即使有传感器错误.
科学领域:
- 航空航天工程 航空航天工程
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
背景情况:
- 准确的姿势估计 (位置和方向) 对自动驾驶飞行器的导航至关重要.
- 现有的方法往往依赖于复杂的传感器融合或简化假设.
- 达文波特的q方法是为卫星态度估计而建立的,但需要适应更广泛的应用.
研究的目的:
- 开发和实施一种通用的q-方法,用于在空中飞行器中进行强大的姿势估计.
- 通过结合惯性位置和消除航天器特定约束来扩展现有的q方法.
- 为了验证该方法在无人机 (UAV) 应用中的准确性.
主要方法:
- 使用参考对象的车载测量向量来计算相对于惯性框架的姿势.
- 解决了四次数固有值的解决方案,以最大限度地减少导出方程系统中的错误.
- 开发和实施无人机的姿势估计模型,在受控环境中使用机载摄像头测量.
主要成果:
- 一般化q-方法成功估计了飞行器的位置和方向.
- 算法输出与真实数据进行了验证,证明了高准确性.
- 该方法即使存在传感器错误,也被证明是有效的.
结论:
- 概括的q方法为飞行器姿势估计提供了准确而强大的解决方案.
- 这种方法将q-方法的适用性扩展到超出卫星态度的确定范围.
- 开发的模型适用于需要精确导航的无人机应用.
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