Title :
UAV formation flight based on vision sensor
Author :
Zhong, Yang ; Ting, Fang ; Qiongjian, Fan ; Delin, Luo
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
This paper discusses the vision-based UAV formation flight methods, describes the critical section-formation guidance, moving object extracting, object tracking in detail. At the same time, we propose a real-time video drawing method to apply to flying vehicle object extracting, and introduce the unscented Kalman filtering(UKF) into object tracking to improve the often-used extended Kalman filtering(EKF). The simulation results show their efficiency.
Keywords :
Kalman filters; feature extraction; image sensors; remotely operated vehicles; space vehicles; target tracking; UAV formation flight methods; critical section-formation guidance; moving object extracting; object tracking; real-time video drawing method; unscented Kalman filtering; vision sensor; Aerospace engineering; Automatic control; Automation; Data mining; Educational institutions; Kalman filters; Navigation; Space technology; Target tracking; Unmanned aerial vehicles; Formation flight; Moving object extracting; Object tracking; UAV; UKF;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605771