DocumentCode :
233645
Title :
A robust vision system for a UAV transporting cargoes between moving platforms
Author :
Shiyu Zhao ; Zhangyuan Hu ; Mingfeng Yin ; Ang, Kevin Z. Y. ; Peidong Liu ; Fei Wang ; Xiangxu Dong ; Feng Lin ; Chen, Ben M. ; Lee, Tong H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
544
Lastpage :
549
Abstract :
Motivated by the 2013 International UAV Innovation Grand Prix (UAVGP), we design and implement a real-time vision system for an unmanned helicopter to transfer cargoes between two moving platforms fully autonomously. The key algorithms in the vision system include ellipse detection, ellipse tracking and single-circle-based pose estimation. Comprehensive experiments have verified the efficiency, accuracy and robustness of the algorithms. The developed vision system has helped us achieving a great success in UAVGP. Our team was ranked first in the final round competition.
Keywords :
autonomous aerial vehicles; freight handling; helicopters; object detection; object tracking; pose estimation; robot vision; International UAV Innovation Grand Prix; UAVGP; cargo transportation; ellipse detection; ellipse tracking; real-time vision system; robust vision system; single-circle-based pose estimation; unmanned aerial vehicle; unmanned helicopter; Cameras; Estimation; Helicopters; Histograms; Machine vision; Robustness; Target tracking; Circle-based pose estimation; Ellipse detection; OpenCV; Unmanned aerial vehicle; Vision-based navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896682
Filename :
6896682
Link To Document :
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