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A new scheme of vision based navigation for flying vehicles-concept study and experiment evaluation

机译:一种基于视觉的飞行器导航新方案-概念研究与实验评估

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In this paper, a new scheme of vision based navigation was proposed for flying vehicles. In this navigation scheme, the main navigation tool is a camera, plus an altimeter. The feasibility of this navigation scheme was carefully studied both from theory and numerical analysis. Unlike most of vision based navigation approaches using feature trajectories to compute 3D-platform motion, we use the image geometrical transformation parameters between consecutive frames to infer3D displacement of camera. Due to this change, the navigation process can be conducted even if there is no salient features that can be extracted from in the image sequence, for example, in the case of flying over the sea. As a result, the long-range navigation becomes possible by use EO sensor. Moreover, the way of improvement navigation accuracy was also discussed in the paper. The experiment results demonstrated that the navigation accuracy of this system is compatible to GPS (Global Positioning system), much higher than all kinds of INS (Inertial Navigation System) in terms of position estimation. It is a good alternative choice when the GPS signal is not available.
机译:本文提出了一种用于飞行器的基于视觉的导航方案。在此导航方案中,主导航工具是相机,以及高度计。从理论和数值分析仔细研究了该导航方案的可行性。与基于Vision的大多数导航方法不同,使用特征轨迹计算3D平台运动,我们使用连续帧之间的图像几何变换参数来接近相机的移位。由于这种改变,即使没有可以从图像序列中提取的突出特征,例如,在飞越大海的情况下,也可以进行导航过程。结果,通过使用EO传感器可以实现远程导航。此外,还讨论了提高导航准确性的方式。实验结果表明,该系统的导航精度与GPS(全球定位系统)兼容,在位置估计方面高于各种INS(惯性导航系统)。当GPS信号不可用时,这是一个很好的选择。

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