由操作员辅助的无人机目标验证的三维点云生成和VR可视化

Louis-Pierre Bergé, N. Aouf, Thierry Duval, G. Coppin
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引用次数: 13

摘要

在本文中,我们提出了一种模拟三维数据的方法;就像一架装备了雷达传感器的无人作战飞行器(无人机)所能做的那样。获得的数据是彩色的3D点云,其中可能的目标被突出显示。我们使用这些模拟的3D点云数据语料库的目的是探索虚拟现实设置的使用,以验证目标的选择。为了做到这一点,我们详细介绍了VR耳机的实现,以可视化我们的模拟数据。我们还引入了一个度量来估计目标的可见性。
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Generation and VR visualization of 3D point clouds for drone target validation assisted by an operator
In this paper, we present a process to simulate 3D data; as an unmanned combat aerial vehicle (drone) equipped with a Ladar sensor could do. The data obtained are colored 3D point clouds in where potential targets are highlighted. Our objective with these simulated corpus of 3D point cloud data is to explore the usage of Virtual Reality settings to validate the selection of a target. To do that we detail an implementation of a VR headset to visualize our simulated data. We also introduce a metric to estimate the visibility of the target.
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