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논문 기본 정보

자료유형
학술저널
저자정보
Siva Leela Krishna Chand Gudi (University of Technology Sydney) Bo-sun Kim (Kumoh National Institute of Technology) Silvirianti (Kumoh National Institute of Technology) Soo Young Shin (Kumoh National Institute of Technology) Seog Chae (Kumoh National Institute of Technology)
저널정보
한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.17 No.1
발행연도
2019.3
수록면
84 - 90 (7page)

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초록· 키워드

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Applications of unmanned aerial vehicles (UAVs) in the military environment have become popular because they require minimum human contribution and can avoid accidents during missions. UAVs are employed in various missions such as reconnaissance, observation, aggression, and protection. Consequently, counter-measures, known as anti-drone technologies, have been developed as well. In order to protect against threats from anti-drone technologies and enhance the survivability of UAVs, this study proposes an evasive measure. The proposed bio-inspired evasive maneuver of a UAV mimics a dragonfly’s irregular flight. The unpredictable UAV movement is able to confuse enemies and avoid threats, thereby enhancing the UAV’s survivability. The proposed system has been implemented on a commercial UAV platform (AR Drone 2.0) and tested in a real environment. The experiment results demonstrate that the proposed flight pattern has larger displacement values compared to a regular flight maneuver, thus making the UAV’s position is difficult to predict.

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Abstract
I. INTRODUCTION
II. BIO-INSPIRED UAV EVASIVE MOVEMENT BASED ON DRAGONFLY BEHAVIOR
III. IMPLEMENTATION
IV. EXPERIMENT RESULTS
V. CONCLUSIONS
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