单目视觉空间移动靶位姿测量方法研究
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TH701 P235. 2 TP242. 2

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国家自然科学基金(51175047, 51475046)、中央军委科学技术委员会(19-163-11-ZD-099-001-01-03-06)项目资助


Research on the position and attitude measurement method of the spatially moving target in monocular vision
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    摘要:

    为向室内定位技术定位精度及抗干扰能力提供高精度数据对比标准,提出单目视觉空间移动靶位姿测量方法。 结合机 器视觉投影矩阵求解与摄影测量后方交会技术,实现任意靶位姿下的相机外参数求解。 首先,通过世界坐标系下地面控制点坐 标及其像面坐标,计算真实相机站位;随后,根据靶点初始世界坐标及其实时像面坐标,求解虚拟相机站位;最后,根据虚拟及真 实相机站位外参数,将靶点初始世界坐标变换至靶点实时世界坐标。 实验结果表明,在 10 m×4. 5 m×3. 8 m 测量空间中,靶位 移距离测量误差 X 方向均方根误差(RMSE)为 0. 358 3 mm,Y 方向 RMSE 为 0. 350 9 mm,Z 方向 RMSE 为 1. 475 2 mm。 靶姿态 角 φ 测量 RMSE 为 0. 094 0°,ω 测量 RMSE 为 0. 089 3°,κ 测量 RMSE 为 0. 025 4°。 满足大范围移动载体的高精度实时定位定 姿需求。

    Abstract:

    To provide high-precision data standards for the positioning accuracy and anti-interference ability of indoor positioning technology, a position and attitude measurement method of the spatially moving target in monocular vision is proposed. The machine vision projection matrix solution and photogrammetry resection technology are combined to achieve the solution of camera exterior parameters through a target in any position and attitude. First, the real camera station is calculated through the ground control field target world coordinates and image coordinates. Then, the virtual camera station is solved based on the target initial world coordinates and realtime image coordinates. Finally, according to the virtual and real camera station exterior parameters, the initial world coordinates of the target are transformed into the real-time world coordinates of the target. The experimental results show that, in the measurement space of 10 m×4. 5 m×3. 8 m, the root mean squared error (RMSE) of target displacement distance measurement is 0. 358 3 mm in X direction, 0. 350 9 mm in Y direction, and 1. 475 2 mm in Z direction. The attitude angle measurement RMSE is 0. 094 0° in φ, 0. 089 3° in ω, and 0. 025 4° in κ. This method can meet the needs of high-precision real-time positioning and attitude determination of moving targets in a large range. Keywords:spatial

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刘其林,董明利,孙 鹏,燕必希,祝连庆.单目视觉空间移动靶位姿测量方法研究[J].仪器仪表学报,2023,44(11):196-204

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  • 在线发布日期: 2024-01-29
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