TY - JOUR
T1 - Docking navigation method for UAV autonomous aerial refueling
AU - Luo, Delin
AU - Shao, Jiang
AU - Xu, Yang
AU - Zhang, Jinpeng
N1 - Publisher Copyright:
© 2018, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
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 -