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http://dx.doi.org/10.12985/ksaa.2017.25.4.083

Intruder Tracking and Collision Avoidance Algorithm Design for Unmanned Aerial Vehicles using a Model-based Design Method  

Choi, Hyunjin (한국항공우주연구원)
Yoo, Chang-Sun (한국항공우주연구원)
Ryu, Hyeok (한국항공우주연구원)
Kim, Sungwook (한국항공우주연구원)
Ahn, Seokmin (한국항공우주연구원)
Publication Information
Journal of the Korean Society for Aviation and Aeronautics / v.25, no.4, 2017 , pp. 83-90 More about this Journal
Abstract
Unmanned Aerial Vehicles(UAVs) require collision avoidance capabilities equivalent to the capabilities of manned aircraft to enter the airspace of manned aircraft. In the case of Visual Flight Rules of manned aircraft, collision avoidance is performed by 'See-and-Avoid' of pilots. To obtain those capabilities of UAVs named as 'Sense-and-Avoid', sensor-system-based intruder tracking and collision avoidance methods are required. In this study, a multi-sensor-based tracking, data fusion, and collision avoidance algorithm is designed by using a model-based design tool MATLAB/SIMULINK, and validations of the designed model and code using numerical simulations and processor-in-the-loop simulations are performed.
Keywords
Sense-and-Avoid; Unmanned Aerial Vehicles; Tracking; Collision Avoidance; Model-based Design;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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