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基于惯性-视觉融合姿态解算的隐藏点坐标测量

黄云鹏 李洋 邱启帆 董登峰 高豆豆 姜行健 崔成君 周维虎

光学精密工程2025,Vol.33Issue(19):3043-3057,15.
光学精密工程2025,Vol.33Issue(19):3043-3057,15.DOI:10.37188/OPE.20253319.3043

基于惯性-视觉融合姿态解算的隐藏点坐标测量

Hidden point coordinate measurement based on inertial-visual fused attitude estimation

黄云鹏 1李洋 2邱启帆 3董登峰 1高豆豆 1姜行健 2崔成君 2周维虎1

作者信息

  • 1. 中国科学院大学,北京 101408||中国科学院 微电子研究所,北京 100029
  • 2. 中国科学院 微电子研究所,北京 100029
  • 3. 中国科学院 微电子研究所,北京 100029||南京航空航天大学 自动化学院,江苏 南京 211106
  • 折叠

摘要

Abstract

In response to the need for high-precision geometric feature measurement under complex inter-visibility conditions in large-scale advanced precision manufacturing,a hidden-point coordinate measure-ment method based on inertial-visual fused attitude estimation is proposed.The system architecture and measurement principles for hidden-point coordinate determination are analyzed,and Monte Carlo simula-tions are conducted to identify the principal factors influencing measurement uncertainty.An attitude-fu-sion approach employing spherical linear interpolation(slerp)for quaternions is introduced to optimize in-terpolation paths during quaternion fusion,addressing challenges associated with attitude interpolation.On this basis,an inertial-visual fused attitude estimation algorithm is developed.Calibration procedures for the parameters of the hidden-point measurement system are then formulated.An experimental setup is im-plemented to validate the effectiveness and reliability of the proposed method through parameter calibration and hidden-point coordinate measurement experiments.Experimental results indicate that the repeated cali-bration deviation of the coordinate transformation matrix remains below 0.03°,and the repeated calibration deviation of the structural parameter of the hidden-point target remains below 45 μm,confirming the stabil-ity and reliability of the calibration procedures.Based on the calibration results,the inertial-visual fusion method reduces the mean hidden-point coordinate measurement error by 60.63%relative to the monocu-lar-vision method,with the maximum spatial coordinate error kept within 130 μm over a 10 m range.These findings demonstrate that the proposed method meets the geometric measurement requirements of typical high-precision manufacturing environments and exhibits substantial practical potential.

关键词

单目视觉/隐藏点坐标测量/惯性测量单元/融合姿态解算

Key words

monocular vision/hidden point coordinate measurement/inertial measurement unit/fused attitude estimation

分类

机械工程

引用本文复制引用

黄云鹏,李洋,邱启帆,董登峰,高豆豆,姜行健,崔成君,周维虎..基于惯性-视觉融合姿态解算的隐藏点坐标测量[J].光学精密工程,2025,33(19):3043-3057,15.

基金项目

国家重点研发计划资助项目(No.2023YFB3407900) (No.2023YFB3407900)

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