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Autor:
Zhao, Ziyi, Jin, Zhao, Bai, Wentian, Bai, Wentan, Caicedo, Carlos, Gursoy, M. Cenk, Qiu, Qinru
The number of daily sUAS operations in uncontrolled low altitude airspace is expected to reach into the millions in a few years. Therefore, UAS density prediction has become an emerging and challenging problem. In this paper, a deep learning-based UA
Externí odkaz:
http://arxiv.org/abs/2003.09785