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An optical tracking system based on hybrid stereo/single-view registration and controlled cameras

机译:基于混合立体/单视图配准和受控相机的光学跟踪系统

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Optical tracking is widely used in robotics applications such as unmanned aerial vehicle (UAV) localization. Unfortunately, such systems require many cameras and are, consequently, expensive. In this paper, we propose an approach to considerably increase the optical tracking volume without adding cameras. First, when the target becomes no longer visible by at least two cameras we propose a single-view tracking mode which requires only one camera. Furthermore, we propose to rely on controlled cameras able to track the UAV all around the volume to provide 6DoF tracking data through multi-view registration. This is achieved by using a visual servoing scheme. The two methods can be combined in order to maximize the tracking volume. We propose a proof-of-concept of such an optical tracking system based on two consumer-grade cameras and a pan-tilt actuator and we used this approach on UAV localization.
机译:光学跟踪已广泛用于机器人应用,例如无人机(UAV)定位。不幸的是,这样的系统需要许多照相机,因此很昂贵。在本文中,我们提出了一种无需增加相机即可显着增加光学跟踪量的方法。首先,当目标不再被至少两台摄像机看到时,我们提出了单视图跟踪模式,该模式仅需要一台摄像机。此外,我们建议依赖能够在整个体积内跟踪无人机的受控摄像机,以通过多视图配准提供6DoF跟踪数据。这是通过使用视觉伺服方案来实现的。可以将这两种方法结合起来以最大化跟踪量。我们提出了一种基于两个消费级相机和云台致动器的光学跟踪系统的概念验证,并且我们在无人机定位中使用了这种方法。

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