Joint clearance,as an important stochastic factor,can significantly deteriorate positioning and repeatability accuracies and lower assembly quality of a 6-DOF docking mechanism.Considering pose accuracy with tradition...Joint clearance,as an important stochastic factor,can significantly deteriorate positioning and repeatability accuracies and lower assembly quality of a 6-DOF docking mechanism.Considering pose accuracy with traditional error model that possesses inherent imprecision,both probabilistic and deterministic approaches based on forward kinematics are presented to analyze comprehensive pose error(CPE)in simulation.Results indicate an identical trend emerges for each CPE with both approaches,and both CPEs perform opposite variations as the moving platform upgrades.The findings provide theoretical reference for refinement of assembly quality evaluation of this mechanism.展开更多
在相机和旋转模块组成的旋转扫描系统中,相机与转轴的位姿关系对于后续数据融合至关重要。现有方法通常需借助辅助传感器来建立转轴与相机的位姿关系。为降低标定成本,本文提出一种基于ChArUco(Chess Augmented Reality University of C...在相机和旋转模块组成的旋转扫描系统中,相机与转轴的位姿关系对于后续数据融合至关重要。现有方法通常需借助辅助传感器来建立转轴与相机的位姿关系。为降低标定成本,本文提出一种基于ChArUco(Chess Augmented Reality University of Córdoba)标定板的转轴位姿标定方法。利用ChArUco标定板图像解算不同转角下的相机光心坐标并拟合光心轨迹,根据轨迹中心可确定转轴所在位置。建立了旋转系统的数学模型,推导了在世界坐标系下转轴位姿的数学表达式,并基于旋转系统的空间约束构建联合优化,计算相机和转轴间最佳位姿。利用所提出方法进行旋转相机系统标定实验,实验结果表明:标定后的转轴与相机光轴夹角的平均绝对误差为0.036°,标定结果能有效消除全景拼接时的重影现象,验证了所提出方法的准确性和可行性。展开更多
基金supported by the National Defense Basic Scientific Research Program(No.A0320110019)the Shanghai Science and Technology Innovation Action Plan(No.11DZ1120800)
文摘Joint clearance,as an important stochastic factor,can significantly deteriorate positioning and repeatability accuracies and lower assembly quality of a 6-DOF docking mechanism.Considering pose accuracy with traditional error model that possesses inherent imprecision,both probabilistic and deterministic approaches based on forward kinematics are presented to analyze comprehensive pose error(CPE)in simulation.Results indicate an identical trend emerges for each CPE with both approaches,and both CPEs perform opposite variations as the moving platform upgrades.The findings provide theoretical reference for refinement of assembly quality evaluation of this mechanism.
文摘在相机和旋转模块组成的旋转扫描系统中,相机与转轴的位姿关系对于后续数据融合至关重要。现有方法通常需借助辅助传感器来建立转轴与相机的位姿关系。为降低标定成本,本文提出一种基于ChArUco(Chess Augmented Reality University of Córdoba)标定板的转轴位姿标定方法。利用ChArUco标定板图像解算不同转角下的相机光心坐标并拟合光心轨迹,根据轨迹中心可确定转轴所在位置。建立了旋转系统的数学模型,推导了在世界坐标系下转轴位姿的数学表达式,并基于旋转系统的空间约束构建联合优化,计算相机和转轴间最佳位姿。利用所提出方法进行旋转相机系统标定实验,实验结果表明:标定后的转轴与相机光轴夹角的平均绝对误差为0.036°,标定结果能有效消除全景拼接时的重影现象,验证了所提出方法的准确性和可行性。
