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Off-Target Tracking Using Feature Aiding in the Context of Inertial Navigation

机译:惯性导航中使用特征辅助的脱靶跟踪

摘要

A Visual Inertial Tracker (VIT), such as a Simultaneous Localization And Mapping (SLAM) system based on an Extended Kalman Filter (EKF) framework (EKF-SLAM) can provide drift correction in calculations of a pose (translation and orientation) of a mobile device by obtaining location information regarding a target, obtaining an image of the target, estimating, from the image of the target, measurements relating to a pose of the mobile device based on the image and location information, and correcting a pose determination of the mobile device using an EKF, based, at least in part, on the measurements relating to the pose of the mobile device.
机译:视觉惯性跟踪器(VIT),例如基于扩展卡尔曼滤波器(EKF)框架(EKF-SLAM)的同时定位和制图(SLAM)系统,可以在计算飞行器的姿态(平移和方向)时提供漂移校正移动设备通过获取有关目标的位置信息,获取目标的图像,从目标的图像中估计基于图像和位置信息的与移动设备的姿势有关的测量值,以及校正移动设备的姿势确定至少部分地基于与移动设备的姿势有关的测量结果,使用EKF的移动设备。

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