Drogue pose estimation for unmanned aerial vehicle autonomous aerial refueling system based on infrared vision sensor

2017 ◽  
Vol 56 (12) ◽  
pp. 1 ◽  
Author(s):  
Shanjun Chen ◽  
Haibin Duan ◽  
Yimin Deng ◽  
Cong Li
2016 ◽  
Vol 43 (5) ◽  
pp. 0508006
Author(s):  
洪洋 Hong Yang ◽  
孙秀霞 Sun Xiuxia ◽  
王栋 Wang Dong ◽  
刘树光 Liu Shuguang ◽  
王瀚林 Wang Hanlin

Author(s):  
Xu-Feng Wang ◽  
Jian-Min Li ◽  
Xing-Wei Kong ◽  
Xin-Min Dong ◽  
Bo Zhang

Docking safety is a key problem during the docking phase of the unmanned aerial vehicle probe-drogue autonomous aerial refueling (UAV-PD-AAR). To solve this problem, a novel and effective method based on docking success-probability and docking reachability is presented in this paper. Firstly, by employing the location of the drogue with respect to the probe, a docking success-probability estimation algorithm is proposed to give the probe-drogue docking success-probability in real time, with UAV control and drogue attitude considered. Secondly, considering UAV longitudinal dynamics, a docking reachability calculation algorithm for docking reachable set is designed to ensure the UAV can safely reach the docking target set, by using Hamilton–Jacobi equation. Finally, the docking safety algorithm during the docking phase of UAV-PD-AAR is constructed, based on the estimated docking success-probability and the calculated docking reachability. The experiments of docking success-probability estimation and docking reachability calculation were conducted, which can be used towards docking safety analysis during the docking phase of UAV-PD-AAR.


2012 ◽  
Vol 4 (7) ◽  
pp. 2076-2111 ◽  
Author(s):  
Per Skoglar ◽  
Umut Orguner ◽  
David Törnqvist ◽  
Fredrik Gustafsson

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