基于相关帧的平面目标相对姿态估计方法

Lifa Nong, Wei Wu, Xingshu Wang, Xin Ma
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引用次数: 0

摘要

针对以平面目标为协同目标进行三维相对姿态估计时离面角测量精度低的问题,提出了一种基于相关帧的平面目标三维姿态测量方法。首先,利用单帧图像的姿态估计方法计算每帧图像的目标姿态;其次,利用光纤陀螺单元提供的高精度角度信息,实现目标图像相邻帧的相关;最后,通过叠加多帧相关图像估计平面目标的三维姿态。该方法充分利用了光纤陀螺单元短时间姿态的高精度特性,并通过序列图像的相关处理降低了图像随机噪声对姿态测量的影响。仿真和实验结果表明,当相对姿态角在−2°~ 2°范围内变化时,该方法的离面角测量精度比传统方法提高了6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relative Attitude Estimation Approach Based on Correlated Frames Using Planar Target
A three-dimensional (3D) attitude measurement approach for planar target based on correlated frames is proposed to solve the problem of low off-plane angle measurement accuracy for 3D relative attitude estimation using planar target as cooperative target. First, the target attitude of each frame of image is calculated by attitude estimation approach by a single-frame image. Second, the high-precision angle information provided by the fiber-optic gyro unit is used to realize the correlation of adjacent frames of target images. Finally, the 3D attitude of planar target is estimated by superimposing multiple frames of correlated images. This approach makes full use of the high-accuracy of short-time attitude of the fiber-optic gyro unit, and reduces the influence of image random noise on attitude measurement by correlating sequence image. Simulation and experimental results show that when the relative attitude angle varies from −2° to 2°, the proposed approach improves the measurement accuracy of the off-plane angle by a factor of 6 compared with the traditional ones.
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