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计算机工程 ›› 2010, Vol. 36 ›› Issue (19): 193-194,197. doi: 10.3969/j.issn.1000-3428.2010.19.067

• 人工智能及识别技术 • 上一篇    下一篇

基于仿生双目的无人旋翼机自主着陆方法

张丽薇,谢少荣,罗 均,王 涛   

  1. (上海大学机械电子工程与自动化学院,上海 200072)
  • 出版日期:2010-10-05 发布日期:2010-09-27
  • 作者简介:张丽薇(1984-),女,硕士研究生,主研方向:机器仿生视觉,图像处理;谢少荣、罗 均,教授、博士后、博士生导师;王 涛,实验员、硕士
  • 基金资助:
    国家“863”计划基金资助项目(2007AA04Z225);国家自然科学基金资助项目(60605028)

Method of Unmanned Helicopter Autonomous Landing Based on Binocular Stereo

ZHANG Li-wei, XIE Shao-rong, LUO Jun, WANG Tao   

  1. (School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)
  • Online:2010-10-05 Published:2010-09-27

摘要: 基于仿生双目理论提出一种仿双眼异向运动的变视轴夹角双目视觉系统,通过对实时采集的目标图像的处理,研究其双目摄像机夹角的在线自标定,实现获取无人旋翼机的实时高度信息。实验结果表明,该方法获得的光轴夹角信息相对误差小于5%,能准确控制双目摄像机的转动,避免由于双目视觉盲区所造成的着陆误差,系统所标定出的旋翼机高度信息也为其安全着陆提供了有力保障。

关键词: 无人旋翼机, 仿生视觉, 自主着陆, 摄像机标定

Abstract: Based on the binocular stereo vision theory, a binocular vision system is presented, whose axis angle can be changed real time. Through dealing with real-time acquisition of the target image, the axis angle of stereo vision sensor can be calibrated, and the real-time height of unmanned helicopter can be achieved. Experimental results show that the calibration error of the axis angle is less than 5%. It can control stereo vision sensor rotate accurately, avoid the landing error caused by the blind spot of the binocular vision, and provide the security for the unmanned helicopter autonomous landing.

Key words: unmanned helicopter, binocular vision, autonomous landing, camera calibration

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