Open AccessResearch on UAV Point Landing based on Visual Navigation
Author(s) -
Boyong He,
Chao Meng,
Liaoni Wu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012077
Subject(s) - computer vision , artificial intelligence , computer science , robustness (evolution) , geodetic datum , point cloud , point (geometry) , geodesy , mathematics , geography , biochemistry , chemistry , geometry , gene
In this paper, the point landing technology based on visual navigation is studied on a rotor UAV flight platform. By contrasting different flight datum, several common image recognition and tracking algorithms are compared such as blob analysis, CamShift and KCF. Thus, automatic and manual methods are respectively designed for identifying ground targets, with rapidity, accuracy and robustness. After testing on UAV onboard equipment, the point landing technology based on visual navigation is finally achieved.