The aim of this paper is to study visual autonomous navigation of unmanned aerial vehicle (UAV) in
indoor global positioning system (GPS) denied environment. The UAV platform of the autonomous navigation
flight control system is designed and built. The principle of visual localization and mapping algorithm is studied.
According to the characteristics of UAV platform, the visual localization is designed and improved. Experimental
results demonstrate that the UAV platform can realize the tasks of autonomous localization, navigation and
mapping based on visual in unknown environments.
ZHANG Yang* (张洋), L ¨U Qiang (吕强), LIN Huican (林辉灿), MA Jianye (马建业)
. Research on Visual Autonomous Navigation Indoor for Unmanned Aerial Vehicle[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(2)
: 252
-256
.
DOI: 10.1007/s12204-017-1829-1
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