Design of a GCS System Supporting Vision Control of Quadrotor Drones 


Vol. 41,  No. 10, pp. 1247-1255, Oct.  2016


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  Abstract

The safety and autonomous flight function of micro UAV or drones is crucial to its commercial application. The requirement of own building stable drones is still a non-trivial obstacle for researchers that want to focus on the intelligence function, such vision and navigation algorithm. The paper present a GCS using commercial drone and hardware platforms, and open source software. The system follows modular architecture and now composed of the communication, UI, image processing. Especially, lane-keeping algorithm. are designed and verified through testing at a sports stadium. The designed lane-keeping algorithm estimates drone position and heading in the lane using Hough transform for line detection, RANSAC-vanishing point algorithm for selecting the desired lines, and tracking algorithm for stability of lines. The flight of drone is controlled by ‘forward’, ‘stop’, ‘clock-rotate’, and ‘counter-clock rotate’ commands. The present implemented system can fly straight and mild curve lane at 2-3 m/s.

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  Cite this article

[IEEE Style]

H. Ahn, H. C. Anh, D. T. Tuan, "Design of a GCS System Supporting Vision Control of Quadrotor Drones," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1247-1255, 2016. DOI: .

[ACM Style]

Heejune Ahn, Hoang C. Anh, and Do T. Tuan. 2016. Design of a GCS System Supporting Vision Control of Quadrotor Drones. The Journal of Korean Institute of Communications and Information Sciences, 41, 10, (2016), 1247-1255. DOI: .

[KICS Style]

Heejune Ahn, Hoang C. Anh, Do T. Tuan, "Design of a GCS System Supporting Vision Control of Quadrotor Drones," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1247-1255, 10. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880