Zhihao YE, Fengxi ZHANG, Ruisong YAN, Zhanxu LIU, Yixuan HAO, Tong HUYAN, Wenbo YANG, Jiashu YUAN
Alexander BELYAEV, Ding YUAN, Xu WANG, Fuchun LIN
With the development and technological iteration of the drone industry, the drone industry has reached a bottleneck. In the future, the endurance problem of UAVs and clustering operations will become milestones in the development of UAVs.
"AVI" is a multi-modal UAV continuation system based on artificial intelligence, which effectively solves the endurance problem of UAV through the design of target detection model in yolov4-tiny, automatic power exchange of battery disc and wireless ad hoc network communication. And through machine learning algorithms, the efficient layout of the battery life platform on a large scale has been realized.
It is believed that in the future, our AVI will have a wider range of application fields and gradually penetrate into the UAV industry, realizing the integration of the UAV endurance platform.