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A Camera Calibration Method Based on Differential GPS System for Large Field Measurement

机译:基于差分GPS系统的大场测量相机标定方法

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Aiming at the problem that the traditional space control point cannot be laid in the large field of view when calibrate the camera's parameters, a high precision calibration method of the camera is proposed. In this paper, the rover part of the differential GPS system is loaded on the unmanned aerial vehicle (UAV) and the base part is placed at the origin of the world coordinate system. The UAV is controlled to move within the field of view of the camera which to be calibrated and we can obtain the three-dimensional coordinates of the control point and the corresponding image coordinate. And then according to the "High Accuracy Calibration Method Based on Collinear Equation" to calculate the initial value of the camera's internal and external parameters, and finally we can solve the accurate calibration parameters after optimization. The measurement accuracy of differential GPS system can reach centimeter level, the control points should distributed evenly in the field of view to solve the exact results. Experiments show that the accuracy of the intersection of 300 m and 800 m can reach 0.6 m and 1 m respectively, so the method have the characteristics of high precision, practicality and simple operation.
机译:针对传统的空间控制点在标定相机参数时不能放置在大视野中的问题,提出了一种高精度的相机标定方法。在本文中,差分GPS系统的流动站部分被加载到无人机(UAV)上,基础部分被置于世界坐标系的原点。无人机被控制在要校准的摄像机视场内移动,我们可以获得控制点的三维坐标和相应的图像坐标。然后根据“基于共线方程的高精度标定方法”计算出相机内部和外部参数的初始值,最后经过优化可以求解出准确的标定参数。差分GPS系统的测量精度可以达到厘米级,控制点应在视场中均匀分布,以解决精确的结果。实验表明,该方法在300 m和800 m相交处的精度分别达到0.6 m和1 m,具有精度高,实用性强,操作简单的特点。

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