基于卫星图像的无人机着陆点视觉搜索

Keunyoung Park, Doohyun Kim, Dongwoon Jeon
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引用次数: 2

摘要

近年来,无人智能设备在从军事到民用的各个领域都很受欢迎。在复杂的城市地区飞行需要高水平的自主飞行技术,以确保人员的安全。此外,由于不可避免的障碍物、部件故障或系统故障,无人机在飞行时可能遇到关键情况。这些因素会迫使飞机在合适的地点紧急降落。本文提出了一种从卫星图像中预先选择可用着陆点,并在紧急情况下将无人机导航到这些着陆点的紧急着陆程序。在紧急情况下使用相机寻找合适的着陆点是非常耗时的。本文还提出了一种利用合适的形状和面积在卫星图像中搜索着陆点的简单方法。通过应用该方法,我们的结果估计可以正确地搜索到合适的着陆点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A vision based landing spot searching for unmanned aerial vehicle using satellite image
Recently, unmanned smart devices have become popular in various fields from the military to civil use. Flight in complex urban areas requires high-level autonomous flying techniques to ensure the safety of people. In addition, UAVs can encounter critical circumstances when flying because of inevitable obstacles, component malfunction, or faulty systems. These factors can force emergency landing on suitable spots. This paper proposes an emergency landing procedure that uses pre-selected available landing spots from satellite images, and navigates UAVs to such spots in an emergency. Searching suitable landing spots using a camera in an emergency is time-consuming. This paper also proposes a simple method that searches for landing spots in satellite images using proper shapes and areas. By applying this method, our results estimate that appropriate landing spots can be searched correctly.
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