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对非合作性目标的相对运动估计算法,考虑旋转参数的多个解决方案
Qiyang Hu1, Shunan Wu1, Fanchen Meng2
1School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
本研究介绍了一种基于立体视觉的方法,用于估计非合作空间目标的运动. 该方法解决了旋转模两可,并估计了运动状态,即使有遮,也证明了它的稳定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 太空飞船工程 太空飞船工程
- 计算机视觉 计算机视觉
背景情况:
- 在轨道上的维修对于太空经济和安全至关重要.
- 估计非合作目标的相对运动具有重大挑战.
- 立体视觉为相对运动估计提供了一个有前途的方法.
研究的目的:
- 使用立体视觉开发一个强大的相对运动估计方案,用于使用立体视觉的非合作目标.
- 为了应对旋转参数估计中的多个解决方案的挑战.
- 准确估计目标的全运动状态和惯性参数.
主要方法:
- 使用立体视觉进行相对运动估计.
- 应用最小平方法和维护角动量的方法来确定质量分布.
- 通过确定一个唯一的主轴坐标框架来解决旋转模两可.
- 采用扩展卡尔曼波器 (EKF) 具有全球可观测性,用于状态和参数估计.
主要成果:
- 成功估计非合作目标的相对运动状态和惯性参数.
- 证明了拟议方法对抗目标封闭的可靠性.
- 通过数值模拟来验证趋同性能.
结论:
- 开发的基于立体视觉的方案有效地估计了不合作的目标的运动.
- 该方法为旋转参数提供了独特的解决方案,克服了常见的模两可.
- 扩展的卡尔曼波器方法确保准确的状态和参数估计,即使在具有挑战性的条件下,如闭塞.
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