基于视觉的组合导航系统与编队飞行中的最优分配

J. Giribet, I. Mas, Patricio Moreno
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引用次数: 2

摘要

本文提出了一种用于多微型飞行器编队飞行的组合导航系统。数据融合算法使用来自惯性测量单元、GPS接收器和相机的测量,允许使用周围车辆的定位信息来改进其估计。定义了地层导航性能的度量。在此基础上,研究各车辆在编队中的位置,以保证最佳的整体导航质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-based Integrated Navigation System and Optimal Allocation in Formation Flying
This article proposes an integrated navigation system for multiple micro aerial vehicles flying in formation. A data fusion algorithm uses measurements from an inertial measurement unit, a GPS receiver, and a camera allowing to use the positioning information of the surrounding vehicles to improve its estimation. A measure of the navigation performance of the formation is defined. Based on such measure, the position where each vehicle should be located in the formation is studied to guarantee the best overall navigation quality.
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