摘要
针对试飞光电测试中目标运动轨迹姿态自动化测量的问题,提出一种基于空间拓扑关系的目标自动识别跟踪与位姿参数同步测量技术。首先通过对被测目标表面的圆形标志点密集布设、目标运动过程的图像高速采集、圆形标志点不同视角下的自动精确提取,实现目标的自动检测;之后基于多点空间拓扑关系进行同名像对的匹配,并结合双摄像机的标定参数进行前方交会测量,实现目标表面标志点的三维重建;再采用基于多点空间拓扑约束、点距判定以及坐标旋转平移变换算法的点云块配准方法,实现目标自动跟踪与运动过程的轨迹姿态参数测量。试验证明:该方法切实可行,可获得亚毫米级的定位精度和优于0.11°的定姿精度,且能够全自动处理,从而大大提升试飞测试中影像测量的数据处理效率,同时可为飞行影像数据自动化、实时化处理提供一种有效技术手段。
Aiming at the problem of automatic measurement of target trajectory and attitude in flight test, an automatic target recognition tracking and pose synchronous measurement technology based on spatial topological relations is proposed. Firstly, the target is automatically detected by densely arranging circular marking points on the surface of the target, high-speed image acquisition of the target motion process, and automatic and accurate extraction of the circular mark points at different viewing angles. After that, image matching of homonymous image pairs based on the multi-point spatial topological relations and is performed, which combining the calibration parameters of the two cameras, the forward intersection measurement is used to achieve the three-dimensional reconstruction of the target. And then, point cloud registration method combined with multi-point spatial topological constraints, point distance determination, and coordinate rotation translation transformation algorithm is used to achieve target automatic tracking and pose measurement. Experiments have proved that this method is feasible and can obtain sub-millimeter-level positioning accuracy and positional accuracy better than 0.11°, and it can be fully automated, which greatly improves the data processing efficiency of image measurement in flight test and provides an effective technical means for automated and real-time processing of flight image data.
作者
晏晖
胡丙华
YAN Hui;HU Binghua(Chinese Flight Test Establishment,Xi’an 710089,China)
出处
《中国测试》
CAS
北大核心
2019年第4期9-15,共7页
China Measurement & Test
基金
装备预研联合基金(614B05110302)
航空基金(2015ZD30002)
关键词
空间拓扑关系
目标识别跟踪
位姿测量
影像测量
点云块配准
点距判定
spatial topological relation
target identification and tracking
pose measurement
image measurement
point cloud registration
point distance determination
