Docking navigation method for UAV autonomous aerial refueling
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  • 英文篇名:Docking navigation method for UAV autonomous aerial refueling
  • 作者:Delin ; LUO ; Jiang ; SHAO ; Yang ; XU ; Jinpeng ; ZHANG
  • 英文作者:Delin LUO;Jiang SHAO;Yang XU;Jinpeng ZHANG;School of Aerospace Engineering, Xiamen University;China Airborne Missile Academy;Aviation Key Laboratory of Science Technology on Airborne Guided Weapon;
  • 英文关键词:autonomous aerial refueling;;AAR;;position and pose estimation;;improved Haar wavelet transform;;IHWT;;binocular vision system;;BVS;;BVS simulation platform
  • 中文刊名:JFXG
  • 英文刊名:中国科学:信息科学(英文版)
  • 机构:School of Aerospace Engineering, Xiamen University;China Airborne Missile Academy;Aviation Key Laboratory of Science Technology on Airborne Guided Weapon;
  • 出版日期:2018-12-26 11:46
  • 出版单位:Science China(Information Sciences)
  • 年:2019
  • 期:v.62
  • 基金:supported by National Natural Science Foundation of China (Grant No. 61673327);; Aeronautical Science Foundation of China (Grant No. 20160168001)
  • 语种:英文;
  • 页:JFXG201901003
  • 页数:16
  • CN:01
  • ISSN:11-5847/TP
  • 分类号:29-44
摘要
In this paper, a docking navigation method for autonomous aerial refueling(AAR) of unmanned aerial vehicles(UAVs) based on a binocular vision system(BVS) is proposed. A BVS simulation platform is built for simulation research purposes. First, unnecessary scene information in the image is filtered through green light-emitting diodes(LEDs) and filters. Then the image is processed via graying, binarization, and median filtering to highlight the connected area of the LED in the image. Subsequently, the center of mass of the connected area is selected as the feature point(FP), and the FPs are described using an improved Haar wavelet transform. The multidimensional description vector of FP is obtained and matched. Finally,the position and pose of the refueling cone sleeve are estimated. Simulation results show the effectiveness of the presented AAR navigation method.
        In this paper, a docking navigation method for autonomous aerial refueling(AAR) of unmanned aerial vehicles(UAVs) based on a binocular vision system(BVS) is proposed. A BVS simulation platform is built for simulation research purposes. First, unnecessary scene information in the image is filtered through green light-emitting diodes(LEDs) and filters. Then the image is processed via graying, binarization, and median filtering to highlight the connected area of the LED in the image. Subsequently, the center of mass of the connected area is selected as the feature point(FP), and the FPs are described using an improved Haar wavelet transform. The multidimensional description vector of FP is obtained and matched. Finally,the position and pose of the refueling cone sleeve are estimated. Simulation results show the effectiveness of the presented AAR navigation method.
引文
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