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Combining Stereo Vision and Inertial Navigation for Automated Aerial Refueling

机译:结合立体视觉和惯性导航实现自动空中加油

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This paper describes the design of an extended Kalman filter to obtain the precise relative position of two aircraft in a refueling maneuver while operating' in GPS-denied environments. The extended Kalman filter uses the inertial navigation system already present in both aircraft as well as the stereo camera system organic to new tanker systems. The aircraft trajectories are generated to represent an authentic refueling profile with flight dynamics software and executed in a three-dimensional virtual environment to enable deterministic simulation of the stereo camera system and to demonstrate the effectiveness of the combined system in an authentic refueling scenario. Results show the system can achieve sufficient accuracy using only stereo machine vision and inertial navigation system measurements, though the system is capable of incorporating GPS measurements when available for an additional increase in accuracy.
机译:本文介绍了一种扩展的卡尔曼滤波器的设计,该模型可在GPS受限的环境中运行时获得两架飞机在加油机动中的精确相对位置。扩展的卡尔曼滤波器使用了飞机中已经存在的惯性导航系统以及新加油机系统固有的立体摄像机系统。生成飞机轨迹以使用飞行动力学软件表示真实的加油曲线,并在三维虚拟环境中执行该飞行器轨迹,以实现立体摄像系统的确定性仿真,并演示组合系统在真实加油场景中的有效性。结果表明,尽管该系统能够合并GPS测量值以进一步提高精度,但仅使用立体机器视觉和惯性导航系统测量值即可达到足够的精度。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2017年第9期|2250-2259|共10页
  • 作者单位

    U.S. Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433;

    U.S. Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433;

    U.S. Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433;

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