A New Visual & Inertial Based Satellite Quality Evaluation Method

Pi Qiao, Ruichen Wu, Lei Sun, Dongfang Yang
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Abstract

Visual and inertial navigation have obvious complementarity in navigation accuracy, and the combined navigation of the two has excellent anti-interference ability. In this paper, a visual-inertial-based satellite quality evaluation method is proposed. This method can judge whether the GPS (Global Positioning System) is interfered by comparing the visual-inertial navigation information with the GPS data information in the geographic coordinate system. This method enables the UAV to quickly switch the navigation mode under the condition of being disturbed, which ensures that the navigation function is accurate and free from interference, and provides a more solid foundation for the navigation of the UAV and other platforms.
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一种基于视觉和惯性的卫星质量评价新方法
视觉导航和惯性导航在导航精度上具有明显的互补性,两者结合导航具有优异的抗干扰能力。提出了一种基于视觉惯性的卫星质量评价方法。该方法通过对比视觉惯性导航信息与地理坐标系下的GPS数据信息,判断GPS是否受到干扰。该方法使无人机能够在受到干扰的情况下快速切换导航模式,保证了导航功能的准确和不受干扰,为无人机和其他平台的导航提供了更坚实的基础。
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