首页|基于激光雷达的非合作航天器姿态测量

基于激光雷达的非合作航天器姿态测量

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针对目标自遮挡导致姿态解算精度较低的问题,提出了一种基于激光雷达(LiDAR)点云的空间非合作目标姿态估计方法.初始姿态获取阶段,通过RANSAC算法与曲率聚类分割算法对目标特征分割,再与模板特征进行匹配获得粗配准变换矩阵,然后利用迭代最近点(ICP)算法精配准解算初始姿态;姿态跟踪阶段,通过快速点云配准计算相对姿态,通过逐帧点云姿态传递完成目标姿态测量.利用卫星模型搭建实验平台进行姿态测量实验.实验结果表明:所提方法能够稳定完成姿态解算,验证了所提方法的精度与可行性.
Attitude measurement of non-cooperative spacecraft based on LiDAR
Attitude measurement of non-cooperative target is a key technology in space rendezvous and docking.Aiming at the problem of low attitude calculating precision caused by target self-occlusion,a spatial non-cooperative target attitude estimation method based on LiDAR point cloud is proposed.In the initial pose acquisition stage,the target features are segmented by the RANSAC algorithm and the curvature clustering segmentation algorithm,and match with the template features to obtain a rough registration transformation matrix,and the iterative closest point(ICP)algorithm is used for fine registration to solve the initial pose.In the attitude tracking stage,the relative attitude is calculated by fast point cloud registration,and the target attitude measurement is completed by frame-by-frame point cloud attitude transfer.The satellite model is used to build an experimental platform for attitude measurement experiments.The experimental results show that the proposed method can stably complete the attitude calculation.The precision and feasibility of the proposed method are verified.

LiDARnon-cooperative targetattitude measurementpoint cloud registration

冯田、冯志辉、南亚明、雷铭

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中国科学院空间光电精密测量技术重点实验室,四川成都 610209

中国科学院光电技术研究所,四川成都 610209

中国科学院大学,北京 100049

激光雷达 非合作目标 姿态测量 点云配准

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(2)
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