【24h】

Camera calibration for UAV ground feature localization

机译:无人机空地特征相机校准

获取原文

摘要

This paper describes a method to calibrate the geometric position and orientation of a camera mounted onto the underside of an unmanned aerial vehicle (UAV). The method takes as input multiple images captured in flight of a stationary ground feature for which GPS coordinates are known. The UAV's location and pose during each image capture is assumed known from on-board GPS and IMU devices. The ground feature's pixel coordinates in each image are also known (obtained using image processing or by inspection). Using these inputs, the described method uniquely determines the camera's relative position/orientation with respect to the UAV using a nonlinear root-finding algorithm. The method represents a simple, yet effective, calibration procedure that uses information that is readily obtained from a typical UAV flight. Results from test flight experiments are presented.
机译:本文介绍了一种校准安装在无人飞行器(UAV)底面的摄像头的几何位置和方向的方法。该方法以在已知GPS坐标的静止地面特征的飞行中捕获的多个图像作为输入。假定从机载GPS和IMU设备获悉了每次图像捕获过程中无人机的位置和姿势。每个图像中地面要素的像素坐标也是已知的(使用图像处理或通过检查获得)。使用这些输入,所描述的方法使用非线性寻根算法唯一地确定摄像机相对于无人机的相对位置/方向。该方法代表一种简单但有效的校准程序,该程序使用从典型的无人机飞行中容易获得的信息。给出了试飞实验的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号