English
Real-time drogue recognition and 3D locating for UAV autonomous aerial refueling based on monocular machine vision
Wang Xufeng - Air Force Engineering University
(in lingua inglese)
The proposed method is able to accomplish drogue recognition and 3D locating simultaneously, which makes the scheme more efficient. Simulations and real world experiment results show that the proposed method is accurate, fast and able to identify the drogue regardless of the changes in environmental conditions. The camera lens distortion has been considered in the monocular vision measurement algorithm for drogue 3D locating, which ensures the accuracy and real-time performance of the system.
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Fonte: Articolo Chinese Journal of Aeronautics, 2015
Settori: Automazione industriale, Sistemi di visione
Mercati: Trasporti e Automotive
Parole chiave: Sistemi di visione
