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A robust real-time vision based GPS-denied navigation system of UAV

机译:基于鲁棒的实时视觉的GPS无人机拒绝导航系统

摘要

In 2015 International UAV Innovation Grand Prix the competition, the cargo transport task is assumed as: there are 4 buckets placed in four circles on one moving platform. Firstly, the unmanned aerial vehicle (UAV) is required to identify circle targets and the black and white id marker near the circle on one moving platform, then the UAV chosen a target bucket, tracked and transported it to the other moving platform, until all 4 buckets are transported from one moving platform to the other. In order to accomplish the cargo transport task, a method of a real-time vision-based GPS-denied multiple object tracking for UAV is developed. The Pixhawk controller is used to achieve tracking, that the relative distance and velocity between the target and UAV is estimated by the image. Finally, the experimental results proved the effectiveness and robustness of the algorithm.
机译:在2015年国际无人机创新大奖赛中,货物运输任务假设为:在一个移动平台上四个圆圈中放置4个铲斗。首先,要求无人机在一个移动平台上识别圆形目标和圆形附近的黑白身份证,然后无人机选择目标铲斗,跟踪并运输到另一个移动平台,直到所有4个铲斗从一个移动平台运输到另一个平台。为了完成货物运输任务,开发了一种基于实时视觉的GPS拒绝无人机无人机多目标跟踪方法。 Pixhawk控制器用于实现跟踪,即通过图像估计目标与无人机之间的相对距离和速度。最后,实验结果证明了该算法的有效性和鲁棒性。

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