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Target geo-localization based on camera vision simulation of UAV

机译:基于无人机摄像机视觉仿真的目标地理定位

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This paper presents a simulation study on estimating the Geo-Location of a target based on multiple image of the target taken from a gimbaled camera mounted on a unmanned aerial vehicle (UAV), which orbits around the target with a radius such that the target is always in the field of camera vision. The Camera Vision Simulation of the UAV is implemented by using an ortho Geo-TIFF (Geo-Spatial Tagged Information File Format) as imagery reference, positional and attitude attributes of UAV, Gimbal and Camera and internal characteristic of the simulated Camera. Target is localized using the simulation images taken from multiple bearing waypoints by applying the Geo-Location algorithm using the simulation parameters as reference. For improving the accuracy of the estimation, error reduction techniques like true average, moving average and recursive least square are also suggested and implemented.
机译:本文提出了一个仿真研究,该仿真研究基于从安装在无人飞行器(UAV)上的万向节摄像机拍摄的目标的多个图像估算目标的地理位置,该摄像机以一定半径围绕目标旋转,始终处于相机视觉领域。通过使用正交Geo-TIFF(地理空间标记信息文件格式)作为图像参考,无人机,云台和相机的位置和姿态属性以及模拟相机的内部特性,可以实现无人机的相机视觉模拟。通过使用以模拟参数为参考的地理位置算法,使用从多个方位航路点拍摄的模拟图像对目标进行定位。为了提高估计的准确性,还提出并实施了诸如真实平均,移动平均和递归最小二乘之类的误差减少技术。

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