具有基准标记和用于主动跟踪的云台摄像机的自主无人机着陆

Joshua Springer, M. Kyas
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引用次数: 3

摘要

在自主无人机飞行中,精确着陆仍然是一个挑战。基准标记为无人机定位着陆平台和自动执行精确着陆提供了一种计算成本低廉的方法。然而,该领域的大多数工作都依赖于刚性安装或朝下的摄像头,这限制了无人机检测标记的能力。我们提出了一种自主着陆的方法,该方法使用安装在万向节上的相机,通过简单地在原地旋转同时上下倾斜相机来快速搜索着陆垫,并在接近和着陆期间持续将相机对准着陆垫。该方法演示了在没有人为干预的情况下,在物理无人机上使用5个经过测试的基准系统中的4个成功搜索,跟踪和着陆。根据基准系统,我们给出了每次成功着陆后无人机到着陆平台中心的距离分布。我们还展示了飞行轨迹、标记跟踪性能和着陆过程中每个通道的控制输出的代表性示例。最后,我们讨论了每个系统的定性优点和缺点。
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Autonomous Drone Landing with Fiducial Markers and a Gimbal-Mounted Camera for Active Tracking
Precision landing is a remaining challenge in autonomous drone flight. Fiducial markers provide a computationally cheap way for a drone to locate a landing pad and autonomously execute precision landings. However, most work in this field depends on either rigidly-mounted or downward-facing cameras which restrict the drone’s ability to detect the marker. We present a method of autonomous landing that uses a gimbal-mounted camera to quickly search for the landing pad by simply spinning in place while tilting the camera up and down, and to continually aim the camera at the landing pad during approach and landing. This method demonstrates successful search, tracking, and landing with 4 of 5 tested fiducial systems on a physical drone with no human intervention. Per fiducial system, we present the distributions of the distances from the drone to the center of the landing pad after each successful landing. We also show representative examples of flight trajectories, marker tracking performance, and control outputs for each channel during the landing. Finally, we discuss qualitative strengths and weaknesses underlying each system.
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