基于自主视觉的旋翼无人机着陆策略

P.R. Grobler, H. W. Jordaan
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引用次数: 3

摘要

本文研究了多旋翼无人机自主着陆的解决方案。本文提出的着陆要求可靠性和高精确度。UAV不能依靠传统的GPS定位,相反,它使用专门的着陆垫和机载相机。所提出的解决方案依赖于着陆目标是静态的假设。本文介绍了3种不同的着陆平台的设计,并在模拟环境中评估了它们的有效性,该模拟环境旨在尽可能地复制真实世界和物理无人机。所提出的解决方案的鲁棒性是通过不同的外部因素来评估的。本文还讨论了状态机的设计,以确保可靠和安全的着陆。还讨论了实现精确着陆的其他方法。采用Gazebo模拟器、ROS和PX4自动驾驶飞行软件进行融合,得到统计仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous Vision Based Landing Strategy for a Rotary Wing UAV
This paper investigates solutions to achieving autonomous landings with multirotor UAVs (Unmanned Aeriel Vehicles). The landings presented in this paper require reliability and high levels of accuracy. The UAV can not rely on traditional GPS for localisation, instead, it makes use of specialised landing pads and onboard cameras. The solutions presented rely on the assumption that landing targets are static. The paper presents the design of 3 different landing pads and evaluates their effectiveness in a simulation environment designed to replicate the real-world and physical UAV as close as possible. The robustness of the proposed solution is evaluated by varying external factors. The paper also addresses state machine design to ensure reliable and safe landings. Other methods of achieving accurate landings are also discussed. Statistical simulation results are obtained using a fusion between Gazebo simulator, ROS and PX4 autopilot flight software.
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