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无人直升机自主着舰的目标定位视觉算法 被引量:5

Visually-guided autonomous helicopter landing on deck
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摘要 根据无人直升机自主着舰的任务特点,构造了用于无人直升机自主着舰的视觉系统,选用仿射不变矩作为该视觉系统目标识别的特征和信息提取的手段,仿真实验表明,开发的算法能够在纵摇角小于15°的情况下正确的识别出目标,对目标中心位置的估计偏差在每个坐标轴向小于3个像素,方位角估计偏差小于9°。整套算法的鲁棒性和实时性满足无人直升机自主着舰的需求。 A machine vision system has been developed for solution scheme for automatic landing of an unmanned helicopter on deck.For recognition known object,the system first captures the image,and then threshold,median filter,segment and label the helipad in image,final the system calculates the Affine Moment Invariants(AMI).When the error of the distance of AMI and standard value from database is about 10% ,the system finds the helipad.In experimentation,the estimate error of the hefipad center is small 3 pixels each axis and the estimate error of the azimuth is small 9 degree.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第34期243-245,共3页 Computer Engineering and Applications
关键词 无人直升机 自主着舰 仿射不变矩 机器视觉 unmanned helicopter automatic landing affine moment invariants machine vision
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  • 1贾云得.机器视觉[M].北京:科学出版社,1999.252-271.
  • 2Sharp C S. A vision system for landing an unmanned aerial vehicle[A]. In:Proceedings of 2001 IEEE, International Conference of Robotics and Automation[C]. 2001.21 -26.
  • 3Paschos G. Perceptually uniform color spaces for color texture analysis: an empirical evalution[J]. IEEE Transactions on Image Processing, 2001,10:932 - 937.
  • 4Foley J, van Dam A. Computer graphics, principles and applications[ M ]. Addision-Wesley, 1990. 350 - 372.
  • 5Mar D,Hildreth E. Theory of edge detection[A]. In:Proceedings of R Soc[C]. 1980. 187 - 217.
  • 6Deans S R. The radon transform and some of its applications[M]. New York: Wiley, 1983.28- 36.

共引文献27

同被引文献53

  • 1徐贵力,程月华,沈春林.基于激光扫描和计算机视觉的无人机全天候自主着陆导引技术[J].航空学报,2004,25(5):499-503. 被引量:12
  • 2李博,王孝通,徐晓刚,杨常青.基于计算机视觉的舰载直升机助降技术研究[J].兵工学报,2007,28(3):370-373. 被引量:9
  • 3王晓剑,潘顺良,宋子善,沈为群.无人直升机自主着舰的计算机视觉技术[J].北京航空航天大学学报,2007,33(6):686-689. 被引量:13
  • 4Sinopoli B, Micheli M, Dunato G, et al. Vision based navigation for an unmanned aerial vehicle[ C ]//Proceedings of IEEE International Conference on Robotics and Automation. Seoul: IEEE, 2001:1757 - 1765.
  • 5Shakernia O,Ma Y,Koo T J,et al. Landing an unmanned air vehicle:vision based motion estimation and non-linear control[ J]. Asian Journal of Control, 1999,1 ( 3 ) : 128 - 145.
  • 6Saripalli S, Montgomery J F, Sukhatme G S. Vision-based autonomous landing of an unmanned aerial vehicle[ C]//IEEE International Conference on Robotics and Automation. Washington D C: IEEE ,2002:2799 - 2804.
  • 7Saripalli S,Sukhatme G S. Landing on a moving target using an autonomous helicopter [ C ]//Yuta S. Proceedings of the International Conference on Field and Service Robotics. Tsukuba: Springer,2003 : 277 - 286.
  • 8Saripalli S, Sukhatme G S. Landing a helicopter on a moving Target[ C ]//IEEE International Conference on Robotics and Automation. Roma : IEEE ,2007 : 10 - 14.
  • 9Amidi O. An autonomous vision-guided helicopter [ D ]. Pittsburgh : Robotics Institute, Carnegie Mellon University, 1996.
  • 10Shi Dongqing. Aerial robot navigation in cluttered urban environments [ D ]. Tallahassee, Florida : Mechanical Engineering Department, Florida State University,2006.

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