期刊文献+

基于INS/SMNS紧耦合的无人机导航 被引量:8

INS /SMNS tightly-coupled navigation for unmanned aerial vehicle
下载PDF
导出
摘要 为了克服无人机惯性导航系统漂移误差累积的缺陷,提出了基于INS/SMNS紧耦合的无人机导航模式(INS/SMNS)。它利用INS提供的位置和姿态角信息分别完成对无人机的粗定位和航拍实时图像的几何校正,提高了SMNS的实时性和适配区景象匹配的精确度;同时,利用SMNS的高精度导航定位结果修正了INS的累积误差。通过INS与SMNS之间的优势互补,使得紧耦合INS/SMNS导航模式具有更好的实时性和精确性。仿真实验表明,紧耦合模式满足无人机规划航迹要求。 To eliminate the drawback that INS (inertial navigation system) errors are accumulated with time,a tightly-coupled INS/SMNS (Scene Matching Navigation System) integrated navigation system is put forward for unmanned aerial vehicles (UAV).It can roughly position the UAV and correct the geometric distortion of real-time graph by INS-provided position and orientation information.Therefore,the real-time and precision in suitable-matching area of SMNS can be improved obviously.Meanwhile,the accumulation error of INS is corrected by using the high-accuracy positioning of SMNS.With the complementary advantages between SMNS and INS,the tightly-coupled INS/SMNS navigation system can obtain significantly improved real-time performance and accuracy.The experiment results show that the proposed system meets the route planning requirements of UAV.
出处 《中国惯性技术学报》 EI CSCD 北大核心 2010年第3期302-306,共5页 Journal of Chinese Inertial Technology
基金 国家重点基金(60634030) 国家自然科学基金(60702066) 教育部新世纪优秀人才项目(NCET-06-0878) 航空基金(20090853013) 西北工业大学校翱翔之星计划
关键词 惯性导航 景象匹配导航 紧耦合 组合模式 无人机 INS scene matching navigation system tightly-coupled integrated mode unmanned aerial vehicle
  • 相关文献

参考文献12

  • 1McLain T W,Beard R W.Trajectory planning for coordinated rendezvous of unmanned air vehicles[C] // AIAA-2000-4369,2000:1247-1254.
  • 2Noureldin A,Karamat T B,Eberts M D,et al.Performance enhancement of MEMS based INS/GPS integration for low cost navigation applications[J].IEEE Trans.Veh.Technol.,2009:58 (3):1077-1096.
  • 3Shesheng Gao,Yongmin Zhong,Xueyuan Zhang,et al.Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system[J].Aerospace Science and Technology,2009,13(4–5):232-237.
  • 4Noureldin A,El-Shafie A,Bayoumi M.GPS/INS integration utilizing dynamic neural networks for vehicular navigation[J].Information Fusion,2010,Article in Press.doi:10.1016/j.inffus.2010.01.003.
  • 5Titterton D H,Weston J L.Strapdown inertial navigation technology[M].Lavenham:Peter Peregrinus Ltd,1997:132-144.
  • 6Conte G,Doherty P.An integrated UAV navigation system based on aerial image matching[C] // Proceedings of the IEEE Aerospace Conference,2008:1-10.
  • 7R.Sharaf,A.Noureldin,A.Osman,N.El-Sheimy,Online INS/GPS integration with a radial basis function neural network[J].IEEE Aerosp.Electron.Syst.2005,20 (3):8-14.
  • 8Semeniuk L,Noureldin A.Bridging GPS outages using neural network estimates of INS position and velocity errors[J].Meas.Sci.Technol.,2006,17(9):2783-2798.
  • 9熊智,李明星,冷雪飞,刘建业.景象匹配/惯性组合导航精确修正算法[J].中国惯性技术学报,2007,15(5):564-567. 被引量:10
  • 10黄锡山,陈哲.景像匹配定位中的图像边缘检测算法研究[J].中国惯性技术学报,2001,9(1):24-30. 被引量:11

二级参考文献23

  • 1于秋则,程辉,柳健,田金文,关世义.基于改进Hausdorff测度和遗传算法的SAR图像与光学图像匹配[J].宇航学报,2006,27(1):130-134. 被引量:31
  • 2熊智,刘建业,冷雪飞.景象匹配辅助导航系统中的精确图象匹配算法研究[J].宇航学报,2006,27(4):680-685. 被引量:6
  • 3冷雪飞,刘建业,熊智.基于分支特征点的导航用实时图像匹配算法[J].自动化学报,2007,33(7):678-682. 被引量:32
  • 4Kong W Y,Egan G K,Cornall T.Feature based navigation for UAVs[C]// Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems Beijing,China,2006.
  • 5Huttenlocher D P,Klanderman G A,Ruchlidge W J.Comparing images using the Hausdorff distance[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,15(9):850 -863.
  • 6Dubuisson M P,Jain A K.A modified Hausdorff distance for object matching[C]// Proceedings of the 12th International Conference on Pattern Recognition,Jerusalem,Israel,1994.
  • 7Zhao C,Shi W,Deng Y.A new Hausdorff distance for image matching[J].Pattern Recognition Letters,2005,26; 581 -586.
  • 8Harris C,Stephens M.A combined corner and edge detector[C]// Proceeding of the Fourth Alvey Vision Conference (AVC),1988:147 -151.
  • 9Kang X,Han C,Yang Y,et al.SAR image edge detection by ratio-based harris method[C].Proceedings of the IEEE International Conference on Acoustics,Speech and Signal Processing,2006,2:837 -840.
  • 10Touzi R,Lopes A,Bousquet P.A statistical and geometrical edge detector for SAR images[J].IEEE Transactions on Geosci-ence and Remote Sensing,1998,26(6):764 -773.

共引文献26

同被引文献47

  • 1郑辛,孙伟,李群,郭元江.基于证据推理的惯性/景象匹配组合导航方法[J].中国惯性技术学报,2014,12(5):624-628. 被引量:4
  • 2李荣冰,刘建业,段方,牛新元.MEMS-INS微型飞行器姿态确定系统的实现研究[J].应用科学学报,2006,24(6):618-622. 被引量:10
  • 3李荣冰,刘建业,熊智.基于视觉/GPS/MEMS-SINS的微型飞行器姿态确定系统[J].上海交通大学学报,2006,40(12):2155-2158. 被引量:3
  • 4刘诗斌.无人机磁航向测量的自动罗差补偿研究[J].航空学报,2007,28(2):411-414. 被引量:31
  • 5Lowe D. Distinctive image features from scale-invariant keypoint[J]. International Journal of Computer Vision, 2004, 60(2): 90-110.
  • 6Adam M, Fosbury J, Crassidis L. Relative navigation of air vehicles[J]. Journal of Guidance, Control, and Dynamics, 2008, 31(4): 824-834.
  • 7Sleiman R A, Sababha B, Yang H C, etal. Real-time estimation of UAV attitude from aerial Fisheye video[C]// AIAA Infotech@Aerospace Conference. Seattle, Washington, 2009.
  • 8Linares R, Crassidis J L, Yang Cheng. Constrained relative attitude determination for two vehicle formations[C]//AIAA Guidance, Navigation, and Control Conference. Chicago, Illinois, 2009.
  • 9Webb T P, Prazenica R J, Kurdila A J, et al. Vision-based state estimation for uninhabited aerial vehicles[C]//AIAA Guidance, Navigation, and Control Conference and Exhibit. San Francisco, California, 2005.
  • 10Zhu Rong, Zhou Zhaoying. A small low-cost hybrid orientation system and its error analysis[J]. IEEE Sensors Journal, 2009, 9(3): 223-230.

引证文献8

二级引证文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部