基于摄像机标定方法的无人机位置解算

摘要

A localization algorithm based on camera calibration technology for the visual navigation system of unmanned aerial vehicles (UAV)was presented. From the image series of target template taken by aircraft camera, the interesting points were earned by corner detection method. According to these points the algorithm computes the position of camera by the camera calibration technology, then the location of UAV was defined. The experiments was carried out with VC6.0 and OpenCV. The results indicated that an ideal position calculating result can also be given by this method without considering the radial distortion and tangential distortion of camera lens.%提出一种基于摄像机标定方法的无人机视觉导航系统位置解算方法.利用机载相机拍摄目标模板图片序列，通过角点检测方法确定模板上的特征点，并根据特征点位置及摄像机标定技术，解算相机的位置坐标，从而解算出无人机的位置.以VC6.0与OpenCV为实验平台，对该方法进行实例验证.结果表明：该方法在不考虑摄像机透镜的径向畸变与切向畸变的影响时，也可给出理想的位置解算结果.