On the design of deep learning-based control algorithms for visually guided UAVs engaged in power tower inspection tasks
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This paper focuses on the design of Convolution Neural Networks to visually guide an autonomous Unmanned Aerial Vehicle required to inspect power towers. The network is required to precisely segment images taken by a camera mounted on a UAV in order to allow a... ...
