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Artificial landmark design and detection using hierarchy information for UAV localization and landing

机译:使用分层信息进行无人机定位和降落的人工地标设计和检测

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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:定位和着陆对于无人飞行器(UAV)至关重要,随着对计算视觉信息处理的研究,一种更加有效和准确的人工地标检测成为热门话题。在本文中,为了提供足够的定位信息,我们设计了一个人工环标,该人工环标具有环面和内部带有特定位置和颜色的一些圆。我们首先使用颜色和层次信息来查找可能的模式,然后计算其交叉比率以检查此模式,最后对我们的无人机进行定位。为了证明我们的标志性算法和检测识别算法,进行了两种实验,结果证明了我们的可行性和准确性。一种是将地标放在随机的背景上,以模仿复杂的环境,另一种是在具有不同投影和距离的真实环境中。通过这些实验结果,我们得出的结论是,我们的界标和算法在各种环境下均具有鲁棒性和可行性。

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