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Boresight calibration of the aerial multi-head camera system

机译:航拍多头摄像机系统的视轴校准

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This paper introduces a novel geometric constraint to boresight calibration for aerial multi-head camera systems. Using the precise EOPs (exterior orientation parameters) estimated for each physical camera and the surface information of the area of interest, multi head camera provides a synthetic image at each time epoch. The camera EOPs can be computed directly from the navigation solution provided by an onboard GPS/INS system and camera platform geometric calibration parameters, which represent the geometric relationship between the camera heads. For direct acquisition of EOPs from the navigation system, the camera frame and the INS frame should be precisely aligned. Boresight can be defined as mounting angles between the INS frame and camera frame. Since small but unknown misalignment angles could cause large errors on the ground, which suggests that they should be precisely estimated. In this paper, unknown boresight angles are estimated by using camera platform geometric calibration parameters as constraints. Since each physical camera of the multi-head camera system is tightly affixed to the platform, the geometry between camera frames remains constant. Simulation results show that the constrained method provides better estimation in terms of both accuracy and precision compared to traditional approach which does not use the constraint
机译:本文为航空多头摄像机系统的视轴校准引入了一种新颖的几何约束。使用为每个物理相机估计的精确EOP(外部定向参数)和感兴趣区域的表面信息,多头相机在每个时间段提供合成图像。摄像机EOP可以直接从车载GPS / INS系统提供的导航解决方案和代表摄像机头之间几何关系的摄像机平台几何校准参数中进行计算。为了从导航系统直接获取EOP,应将摄像机框架和INS框架精确对准。视轴可以定义为INS框架和摄像机框架之间的安装角度。由于较小但未知的未对准角度可能会在地面上引起较大的误差,因此建议应对其进行精确估计。在本文中,未知视轴角度是通过使用相机平台的几何校准参数作为约束条件来估计的。由于多头摄像头系统的每个物理摄像头都紧紧固定在平台上,因此摄像头框架之间的几何形状保持恒定。仿真结果表明,与不使用约束的传统方法相比,约束方法在准确性和精度上都提供了更好的估计。

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