Deep learning-based visual navigation control method for autonomous trajectory of UAVs
Jing Lv,
Lianghui Tu
Abstract:In this paper, a UAV intelligent visual navigation system is designed based on deep learning. To convert the pixel gray values, a Gaussian smoothing function is employed, which ensures that the main features of the visual image are preserved. A convolutional neural network is employed to mark the target with a frame using image pixels and obtain the coordinate position of the center point. Finally, the initial particles generated near the beacon are analyzed by particle filtering with color histograms, which a… Show more
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