基于视觉的连续坚固的LOS角度测量与无的参数适应,以接近航天器组件.
Fei Xie1, Ling Wang1, Bo Wang1
1College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
这项研究引入了一种用于在接近过程中实时视线 (LOS) 角度测量航天器组件的新方法. 该技术可确保对维修和状态评估等关键操作进行持续,稳定的测量.
科学领域:
- 航空航天工程 航空航天工程
- 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
背景情况:
- 太空聚会需要精确的组件级视线 (LOS) 角度测量,以便进行维修等操作.
- 现有的方法通常无法在组件方法场景中提供连续,稳定,实时的LOS测量.
研究的目的:
- 提出一个计算效率高,连续和稳健的方法,用于在航天器接近时在组件级的LOS角度测量.
- 在动态的实时场景中解决当前方法的局限性.
主要方法:
- 适应性马校正用于在可变照明下增强图像.
- 基于信息的值,用于目标像素识别.
- 区域检测与无的参数适应,用于强大的细分.
- 使用先前知识和形状特征进行太阳能电池板识别.
- 太阳能电池板中心的定位和LOS角度计算.
主要成果:
- 拟议的方法证明了卓越的太阳能电池板识别和细分.
- 通过模拟和现实世界的暗室实验来验证模拟空间照明.
- 地上半物理实验证实了通过引导,导航和控制 (GNC) 系统的实时测量能力.
结论:
- 开发的方法提供了一种高性能解决方案,用于连续的实时组件级LOS角度测量.
- 它适用于在约会和接近阶段的关键航天器操作.
- 该方法在复杂的照明条件下提高了计算效率和稳定性.
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