航空学报 > 2003, Vol. 24 Issue (4): 351-354

用于无人直升机着舰控制的计算机视觉技术研究

邱力为, 宋子善, 沈为群   

  1. 北京航空航天大学自动化与电气工程学院 北京 100083
  • 收稿日期:2002-07-23 修回日期:2003-05-10 出版日期:2003-08-25 发布日期:2003-08-25

Computer Vision Scheme Used for the Automate Landing of Unmanned Helicopter on Ship Deck

QIU Li-wei, SONG Zi-shan, SHEN Wei-qun   

  1. School of Automation Science and Electrical Engineering; Beijing University of Aeronautics and Astronautics; Beijing 100083; China
  • Received:2002-07-23 Revised:2003-05-10 Online:2003-08-25 Published:2003-08-25

摘要: 通过理论分析和计算机半实物仿真研究了一种应用于无人直升机自主着舰的双目立体计算机视觉系统及相关计算机视觉技术。研究了基于HSV 均匀色标的计算机视觉技术在无人直升机着舰控制中的应用。使用Hough 变换算法检测直线参数,在Hough 变换中利用梯度信息,它的应用打破了Hough 变换的计算瓶颈。整套算法的抗噪声能力很强,达到了无人直升机自主着舰的实时性和实用性要求。

关键词: 无人直升机, 计算机视觉, 图像分割, 边缘提取, Hough变换

Abstract: A computer vision solution scheme for the automatic landing of an unmanned helicopter on ship was examined from the view of engineering application. A series of computer vision algorithms such as Sobel filter, FastHough Transform, were adopted and integrated to get the relative positions between the helicopter and ship, fromwhich their relative movement parameters can be obtained. The image segmentation was executed in HSV colorspace. Hough Transform was adopted to detect the linear parameters, the bottle neck of which was broken with theuse of gradient information. The use of Hough Transform makes the stereo vision scheme very robust to noise.Computer simulation results indicated that the presented algorithms were robust and reliable.

Key words: unmanned helicopter, computer vision, image segmentation, edge detection, Hough transform

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