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Artificial Landmark Design and Detection Using Hierarchy Information for UAV Localization and Landing

机译:人工地标设计和检测使用uv定位和降落的层次信息

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Localization and landing are of fundamental importance for Unmanned Aerial Vehicles (UAVs), and with the research on compute vision information processing, artificial landmark detection, a more efficient and accurate method, becomes a hot topic. In this paper, in order to provide sufficient information for localization, we design an artificial landmark with an annulus and some circles inside with specific positions and colors. We firstly use color and hierarchy information to find possible patter, then calculate its cross-ratio to check this pattern, localize our UAV at last. To prove our landmark and detection-recognition algorithm, two kinds of experiments are conducted and the results demonstrate our feasibility and accuracy. One is putting our landmark on random backgrounds to imitate complex environment, another is on real environments with different projection and distance. With those experimental results, we get the conclusion that our landmark and algorithm are robust and feasibility under various environments.
机译:本地化和着陆对于无人机(无人机)的重要性是重要的重要性,并且随着计算视觉信息处理的研究,人工地标检测,一种更有效和准确的方法,成为一个热门话题。在本文中,为了提供足够的定位信息,我们设计了一个人工地标,内部有一些圆圈,具有特定位置和颜色。我们首先使用颜色和层次结构信息来找到可能的模式,然后计算其横幂以检查此模式,终于本地化我们的UAV。为了证明我们的地标和检测识别算法,进行了两种实验,结果表明了我们的可行性和准确性。一个人在随机背景上施加地标以模仿复杂的环境,另一个是在具有不同投影和距离的真实环境上。通过那些实验结果,我们得出的结论是,我们的地标和算法在各种环境下具有鲁棒性和可行性。

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