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Semi-physical simulation based on scene matching and inertial integrated navigation for UAV

机译:基于场景匹配和惯性组合导航的无人机半物理仿真

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With the advantage of high location accuracy, strong autonomy and anti-electromagnetic interference, scene matching navigation is one of the most effective aided navigation systems to eliminate the accumulated error of inertial navigation system (INS). In this paper, a scene matching aided inertial integrated navigation scheme is designed, and a semi-physical simulation system is presented. UAV's position and orientation are provided by the programmable attitude and heading reference system (AHRS). By noise adding, blurring and distorting, the current images are simulated based on reference images. Then scene matching is implemented with edge-response based weighted Hausdorff distance. Finally, the Extended Kalman Filter (EKF) is utilized for information fusion of scene matching system and INS. Semi-physical simulation results show that the designed scene matching aided inertial integrated navigation system has high navigation accuracy. This paper could provide theoretical guidance for engineering application of UAV navigation system.
机译:场景匹配导航具有定位精度高,自治性强和抗电磁干扰的优点,是消除惯性导航系统(INS)累积误差的最有效的辅助导航系统之一。本文设计了一种场景匹配辅助惯性组合导航方案,并提出了一种半物理仿真系统。无人机的位置和方向由可编程的姿态和航向参考系统(AHRS)提供。通过添加,模糊和失真噪声,可以基于参考图像模拟当前图像。然后,利用基于边缘响应的加权Hausdorff距离实现场景匹配。最后,将扩展卡尔曼滤波器(EKF)用于场景匹配系统和INS的信息融合。半物理仿真结果表明,所设计的场景匹配辅助惯性组合导航系统具有较高的导航精度。本文可为无人机导航系统的工程应用提供理论指导。

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