Docking navigation method for UAV autonomous aerial refueling

Delin Luo; Jiang Shao; Yang Xu; Jinpeng Zhang

doi:10.1007/s11432-018-9578-9

Docking navigation method for UAV autonomous aerial refueling

Delin Luo, Jiang Shao, Yang Xu, Jinpeng Zhang

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

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.

Original language	English
Article number	10203
Journal	Science China Information Sciences
Volume	62
Issue number	1
DOIs	https://doi.org/10.1007/s11432-018-9578-9
State	Published - 1 Jan 2019
Externally published	Yes

Keywords

AAR
BVS
BVS simulation platform
IHWT
autonomous aerial refueling
binocular vision system
improved Haar wavelet transform
position and pose estimation

Access to Document

10.1007/s11432-018-9578-9

Cite this

@article{95382027d3cd432a91f69df9ae845e3a,

title = "Docking navigation method for UAV autonomous aerial refueling",

abstract = "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.",

keywords = "AAR, BVS, BVS simulation platform, IHWT, autonomous aerial refueling, binocular vision system, improved Haar wavelet transform, position and pose estimation",

author = "Delin Luo and Jiang Shao and Yang Xu and Jinpeng Zhang",

note = "Publisher Copyright: {\textcopyright} 2018, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2019",

month = jan,

day = "1",

doi = "10.1007/s11432-018-9578-9",

language = "英语",

volume = "62",

journal = "Science China Information Sciences",

issn = "1674-733X",

publisher = "Science China Press ",

number = "1",

}

TY - JOUR

T1 - Docking navigation method for UAV autonomous aerial refueling

AU - Luo, Delin

AU - Shao, Jiang

AU - Xu, Yang

AU - Zhang, Jinpeng

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - AAR

KW - BVS

KW - BVS simulation platform

KW - IHWT

KW - autonomous aerial refueling

KW - binocular vision system

KW - improved Haar wavelet transform

KW - position and pose estimation

UR - http://www.scopus.com/inward/record.url?scp=85059157565&partnerID=8YFLogxK

U2 - 10.1007/s11432-018-9578-9

DO - 10.1007/s11432-018-9578-9

M3 - 文章

AN - SCOPUS:85059157565

SN - 1674-733X

VL - 62

JO - Science China Information Sciences

JF - Science China Information Sciences

IS - 1

M1 - 10203

ER -

Docking navigation method for UAV autonomous aerial refueling

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this