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基于紫外信标的无人机高精度助降装置及应用 被引量:1

UAV High-precision Auxiliary Landing Device Based on Ultraviolet Beacon and Its Application
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摘要 在无人机降落过程中,高精度的助降引导系统不可或缺。目前,在复杂的地形、天气条件和存在电磁干扰等不利环境下,无人机助降引导系统存在降落定位误差较大的问题。为实现无人机的精准定位降落,研发了基于紫外信标的无人机高精度助降引导系统,测试结果表明,紫外信标助降引导系统能够满足高精度定位需求。系统定位精度高,可适用于雾霾天气、复杂地形、电磁干扰等特殊环境,为无人机降落过程提供了一种可靠精准的引导方式。 In the process of landing of UAV,high-precision auxiliary landing navigation system is indispensable.At present,under the unfavorable environments of complex terrain,weather conditions and electromagnetic interference,the usual auxiliary landing navigation system has a problem of large landing positioning error.To this end,a high-precision auxiliary landing navigation system based on ultraviolet beacon is developed.The test results show that the auxiliary landing navigation system can meet the high-precision positioning requirements.The system has high positioning accuracy and can be applied to special environments such as haze weather,complex terrain and electromagnetic interference.It provides a reliable and accurate navigation method for the landing process of UAV.
作者 任德建 赵嘉睿 赵思哲 高雪芹 赵太飞 REN Dejian;ZHAO Jiarui;ZHAO Sizhe;GAO Xueqin;ZHAO Taifei(School of Traffic and Transportation Engineering,Central South University,Changsha 410083,Hunan Province,China;School of Computer Science and Engineering,Central South University,Changsha 410004,Hunan Province,China;School of Automation and Information Engineering,Xi'an University of Technology,Xi'an 710048,Shaanxi Province,China)
出处 《天津科技》 2019年第9期60-62,65,共4页 Tianjin Science & Technology
关键词 无人机助降引导 信标 紫外光通信 UAV auxiliary landing navigation beacon ultraviolet communication
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  • 1李晓明,郑链,胡占义.基于SIFT特征的遥感影像自动配准[J].遥感学报,2006,10(6):885-892. 被引量:154
  • 2牛轶峰,沈林成,龙涛.攻击型无人飞行器自主控制技术研究综述[J].系统工程与电子技术,2007,29(3):391-395. 被引量:9
  • 3Delacourt C, Allemand P, Jaud M, et al. DRELIO: An Un- manned Helicopter for Imaging Coastal Areas[J]. Journal of Coastal Research,SI 56:1489-1493.
  • 4I.owe D G. Distinctive Image Features from Scale-invariant Keypoints[J]. International Journal of Computer Vision, 2004,60(2) :91-110.
  • 5Mikolajczyk K,Schmid C. A Performance Evaluation of Local Descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005,27(10) : 1615-1630.
  • 6Qian D, Nareenart R, Adnan O. et at. /:utomatlc lxeglstraucJll and Mosaicking for Airborne Multispectral Image Sequences [J]. Photogrammetric Engineering : Remote Sensing, 2008, 74(2) : 169-181.
  • 7Goshtasby A. Registration of Images with Geometric Distor- tions[J]. IEEE Transactions on Geoseience and Remote Sens- ing,1988,26(1) :60-64.
  • 8Zagorchev L,Goshtasby A. A Comparative Study of Transforma tion Functions for Nonrigid Image Registration[J]. IEEE Trans- actions on Image Processing,2006,15(3):529-538.
  • 9韩杰,王争.无人机遥感国土资源快速监察系统关键技术研究[J].测绘通报,2008(2):4-6. 被引量:81
  • 10程焱,周焰,林洪涛,潘恒辉.基于SIFT特征遥感影像自动配准与拼接[J].遥感技术与应用,2008,23(6):721-728. 被引量:24

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