TY - GEN
T1 - A binocular vision-based measuring system for UAVs autonomous aerial refueling
AU - Deng, Yimin
AU - Xian, Ning
AU - Duan, Haibin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/7
Y1 - 2016/7/7
N2 - In this paper, we present the systematic design and implementation of a binocular vision-based measuring system for autonomous aerial refueling. The hardware configuration of the verification platform is presented, and vision algorithms including feature extraction and pose estimation are employed for estimating the relation between two rotorcrafts. To verify the autonomous aerial refueling of unmanned aerial vehicles, a binocular vision system and an on-board data processing computer are utilized to provide the real-time pose information. Series of experiments are conducted to demonstrate the feasibility and effectiveness of the overall platform.
AB - In this paper, we present the systematic design and implementation of a binocular vision-based measuring system for autonomous aerial refueling. The hardware configuration of the verification platform is presented, and vision algorithms including feature extraction and pose estimation are employed for estimating the relation between two rotorcrafts. To verify the autonomous aerial refueling of unmanned aerial vehicles, a binocular vision system and an on-board data processing computer are utilized to provide the real-time pose information. Series of experiments are conducted to demonstrate the feasibility and effectiveness of the overall platform.
UR - https://www.scopus.com/pages/publications/84979742576
U2 - 10.1109/ICCA.2016.7505279
DO - 10.1109/ICCA.2016.7505279
M3 - 会议稿件
AN - SCOPUS:84979742576
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 221
EP - 226
BT - 12th IEEE International Conference on Control and Automation, ICCA 2016
PB - IEEE Computer Society
T2 - 12th IEEE International Conference on Control and Automation, ICCA 2016
Y2 - 1 June 2016 through 3 June 2016
ER -