通过飞行测试验证以视觉为基础的地形参考导航,使用代式最近点算法
Taeyun Kim1, Seongho Nam1, Hyungsub Lee1
14th R&D Institute, Agency for Defense Development, Daejeon 34060, Republic of Korea.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
本研究介绍了一种基于视觉的地形参考导航 (TRN) 系统,使用立体图像和一种新的旋转不变ICP算法. 该系统提高了定位准确度和可靠性,特别是在GPS有限的高海拔地区.
科学领域:
- 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
- 航空航天工程 航空航天工程
背景情况:
- 全球定位系统 (GPS) 的局限性需要替代导航方法.
- 地形参考导航 (TRN) 提供了一个可行的GPS独立的解决方案.
- 现有的TRN方法可能对传感器错误和环境条件敏感.
研究的目的:
- 提出并验证基于视觉的TRN框架,使用立体图像.
- 提高导航的稳定性和准确性,特别是在高海拔地区.
- 整合一个旋转不变的代式最接近点 (ICP) 算法以提高性能.
主要方法:
- 利用立体图像重建3D海拔地图.
- 使用旋转不变的ICP算法将重建的地图与地形数据库对齐.
- 在装有集成传感器 (IMU,摄像头,高度计) 的塞斯纳飞机上进行了全面的飞行测试.
主要成果:
- 拟议的基于视觉的TRN框架显示了增强的定位准确性和稳定性.
- 在具有较低图像分辨率的高海拔条件下,性能改进尤其显著.
- 该算法在不同的飞行高度上保持了可靠的性能,超过了基于过器的方法.
结论:
- 旋转不变的ICP与基于视觉的TRN的整合是新且有效的.
- 该系统提供了一个强大的,独立于GPS的导航解决方案,通过现实世界飞行测试进行验证.
- 这些发现对无人驾驶飞行器和远程制导系统有重大影响.
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