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System and method for hybrid optical/inertial headtracking via numerically stable Kalman filter

机译:通过数值稳定的卡尔曼滤波器进行光学/惯性头部混合跟踪的系统和方法

摘要

A system and related method for hybrid headtracking receives head-referenced pose data from a head-mounted IMU and platform-referenced or georeferenced position and orientation (pose) data from a platform-mounted IMU, determines error models corresponding to uncertainties associated with both IMUs, and performs an initial estimate of head pose relative to the platform reference frame based on the head-referenced and platform-referenced pose data. A numerically stable UD factorization of the Kalman filter propagates the estimated head pose data forward in time and corrects the initial head pose estimate (and may correct the error models associated with the head-mounted and platform-mounted IMUs) based on secondary head pose estimates, and corresponding error models, received from an optical or magnetic aiding device. The corrected head pose data is forward to a head-worn display to ensure high accuracy of displayed imagery and symbology.
机译:用于混合头部跟踪的系统和相关方法,从头戴式IMU接收头参考姿势数据,并从平台式IMU接收平台参考或地理参考的位置和方向(姿势)数据,确定与两个IMU相关的不确定性对应的误差模型,并根据头参考和平台参考的姿势数据执行相对于平台参考框架的头姿势的初始估计。卡尔曼滤波器的数值稳定的UD分解可及时传播估计的头部姿势数据,并基于辅助头部姿势估计值校正初始头部姿势估计值(并可以校正与头戴式和平台式IMU相关的误差模型)以及从光学或磁性辅助设备接收到的相应错误模型。校正后的头部姿势数据被转发到头戴式显示器,以确保所显示图像和符号的高精度。

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