Abstract
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.
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