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A Survey of UAV Visual Navigation Based on Monocular SLAM

机译:基于单眼猛击的无人视觉导航调查

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The traditional GPS/INS integrated navigation system has many limitations. The advantages of visual navigation with large information and precision, small coordinated interference and strong real-time performance are quickly called research hotspot. This paper introduces the basic steps and some key technologies of visual SLAM, and analyzes the difficulties in real-time and robustness of UAVs. Finally, it proposes some research directions of visual SLAM, including integrated navigation, improvement based on deep learning, semantic map and mitigation feature dependence.
机译:传统的GPS / INS集成导航系统具有许多限制。视觉导航的优势与大量信息和精度,小协调干扰和强大的实时性能很快被称为研究热点。本文介绍了视觉猛击的基本步骤和一些关键技术,并分析了无人机的实时和鲁棒性的困难。最后,它提出了一些研究方向的视觉抨击,包括集成导航,基于深度学习,语义地图和缓解特征依赖的改进。

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