摘要
目前,在动态视觉测量任务执行过程中,主要采用理论分析与静态验证的方法进行视觉测量数据的精度评估,该方法难以克服动态视觉测量任务执行过程中,误差因素对测量结果的影响。因此,设计构建了影像动态位姿测量精度评估系统。基于视觉测量原理和典型目标运动规律,全面分析误差影响因子,规划设计多种试验验证场景。基于移动机器人运动可控、实时动态位姿可获取以及高精度重复定位/定姿的特性,完成目标运动的地面仿真。将移动机器人生成的基准数据与视觉测量获取的位姿数据进行对比,实现误差溯源与定量分析,为具体任务实施方案的优化设计、可行性论证与精度分析评估提供有效技术支撑。
Currently,the method of theoretical analysis and static verification is mainly used to evaluate the accuracy of visual measurement data in dynamic visual measurement tasks,which is inadequate for assessing the impact of error factors on measurement results during dynamic visual measurement processes.To address tihe limitation,this study designed and constructed an image dynamic pose measurement accuracy evaluation system.Based on the visual measurement principle and typical target motion patterns,the system comprehensively analyzed the error influence factors,planned and designed diverse experimental scenarios.Leveraging the mobile robot's advantages,including controllable motion,real-time dynamic pose acquisition and highprecision repeated positioning/posing,a ground simulation of target motion was conducted.By comparing the benchmark data generated by the mobile robot with the pose data obtained through visual measurement,error tracing and quantitative analysis were achieved,which provided effective technical support for the optimization design,feasibility demonstration and accuracy evaluation of specific taskthe implementation plan.
作者
李宁宁
胡丙华
陈海洋
LI Ningning;HU Binghua;CHEN Haiyang(Technology Center,Chinese Flight Test Establishment,Xi'an 710089,China)
出处
《应用光学》
北大核心
2025年第5期1063-1072,共10页
Journal of Applied Optics
基金
国家自然科学基金(52127809)。
