DocumentCode :
2647892
Title :
Autonomous flight system using marker recognition on drone
Author :
Jin Kim ; Yoon Suk Lee ; Sang Su Han ; Sang Ho Kim ; Gun Hyuk Lee ; Ho Jun Ji ; Hye Ji Choi ; Kwang Nam Choi
Author_Institution :
Sch. of Comput. Sci. & Eng., Chung-Ang Univ., Seoul, South Korea
fYear :
2015
fDate :
28-30 Jan. 2015
Firstpage :
1
Lastpage :
4
Abstract :
The DHL began test and research on delivery system by drone. Because of growing demand about comercialized and personal-use drone business, we needed a real-time unmanned drone control system that individuals can afford. In this paper, we propose an autonomous flight system for drone. We used marker recognition technique on that system because it doesn´t require high-spec device which cannot be afforded by ordinary people. The proposed system maintains distance between drone and marker in flight. The system estimates the distance between marker and drone by calculating area of recognized marker image. Performance is validated by result of the proposed system experiment with Parrot´s aerial vehicle AR.drone 2.0 and Android device. The proposed system is expected to be used in promising areas like chase camera, unmanned transport and etc.
Keywords :
autonomous aerial vehicles; image recognition; mobile robots; robot vision; telerobotics; Android device; aerial vehicle AR.drone 2.0; autonomous flight system; drone; marker recognition technique; Androids; Augmented reality; Cameras; Conferences; Humanoid robots; Tracking; Vehicles; Autonomous Control System; Low-cost Quadrotor; Marker Recognition; Object Tracking; UAV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on
Conference_Location :
Mokpo
Type :
conf
DOI :
10.1109/FCV.2015.7103712
Filename :
7103712
Link To Document :
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