基于ArUco基准标记的光学多摄像头无人机定位系统

Tony De Corso, L. De Vito, F. Picariello, K. Wojtowicz, Adam Marut, Przemysław Wojciechowski
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引用次数: 0

摘要

提出了一种基于ArUco基准标记的无人机多摄像头定位系统。与常用的全球导航卫星系统(GNSS)技术或移动网络提供的定位服务相比,拟议的系统利用一组光学相机和一组ArUco基准标记嵌入无人机框架中。这提供了一个简单且可扩展的系统,其中可变数量的摄像机可以检测任意数量的无人机。对该系统进行了静态分析,其中一组安装在地面上的摄像机从不同距离观察目标。收集的结果在系统的精度方面显示出良好的性能。此外,还研究了不同相机估计之间的加权平均的影响,表明它可以有效地补偿相机与目标之间距离增加的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical multi-camera UAV positioning system via ArUco fiducial markers
In this paper, a multi-camera positioning system for Unmanned Aerial Vehicles (UAVs) via ArUco fiducial markers is proposed. Alternatively to the commonly used Global Navigation Satellite System (GNSS) technology, or to the positioning services provided by the mobile networks, the proposed system makes use of a set of optical cameras and a set of ArUco fiducial markers embedded in the UAV's frame. This offers a simple and scalable system in which a variable amount of cameras can detect any number of UAVs. A static analysis of the system has been carried out, in which a set of cameras mounted on the ground look at the target from different distances. The collected results exhibit a promising performance in terms of the precision of the system. Moreover, the effect of a weighted average between different camera estimates has been investigated, showing that it effectively compensates for the effect of the increasing distance between cameras and a target.
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