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http://dx.doi.org/10.6109/jicce.2019.17.1.84

Bio-inspired Evasive Movement of UAVs based on Dragonfly Algorithm in Military Environment  

Gudi, Siva Leela Krishna Chand (Innovation and Enterprise Research Lab., University of Technology Sydney)
Kim, Bo-sun (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
Silvirianti, Silvirianti (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
Shin, Soo Young (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
Chae, Seog (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of information and communication convergence engineering / v.17, no.1, 2019 , pp. 84-90 More about this Journal
Abstract
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.
Keywords
Bio-inspired; Dragonfly; Evasive movement; Irregular flight pattern; Unmanned aerial vehicle (UAV);
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