[1]LI Han,DUAN Haibin,LI Shuyu,et al.Aerial refueling target tracking using a falcon visual tectum information integrating like method[J].CAAI Transactions on Intelligent Systems,2019,14(6):1084-1091.[doi:10.11992/tis.201909005]
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Aerial refueling target tracking using a falcon visual tectum information integrating like method

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 6 Page number: 1084-1091 Column: 学术论文—知识工程 Public date: 2019-11-05
Title:
Aerial refueling target tracking using a falcon visual tectum information integrating like method
Author(s):
LI Han1;  DUAN Haibin1;  LI Shuyu2;  DING Xilun3
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China;
3. School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China
Keywords:
autonomous aerial refueling; falcon visual system; tectum; bifovea; target tracking; neural net work
CLC:
V249.32
DOI:
10.11992/tis.201909005
Abstract:
Autonomous aerial refueling is one of the most important military capabilities under current combat situation In docking phase navigation, visual-aid guidance during the docking phase is a main research focus, of which the tracking of refueling target is an important part and challenge. During researching on the excellent visual system and visual navigation ability of falcon, it was found that the information transfer and integration ability of the visual tectum could help to solve the tracking problem. By simulating information processing mode, constructing a neural network with cross-pathway, and introducing the target out of view and reentry problem that may occur in the aerial refueling visual task, the raptor bifovea based searching strategy is introduced to construct a complete tracking method. Simulation and experiments are done to verify the feasibility and effectiveness of the proposed method.
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