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- Title
Bio-inspired Evasive Movement of UAVs based on Dragonfly Algorithm in Military Environment.
- Authors
Gudi, Siva Leela Krishna Chand; Bo-sun Kim; Silvirianti; Soo Young Shin; Seog Chae
- 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.
- Subjects
DRONE aircraft; RECONNAISSANCE aircraft; PATTERN recognition systems; TECHNOLOGICAL innovations; DATA security
- Publication
Journal of Information & Communication Convergence Engineering, 2019, Vol 17, Issue 1, p84
- ISSN
2234-8255
- Publication type
Article
- DOI
10.6109/jicce.2019.17.1.84