HIGHLIGHTS
SUMMARY
The paper "Runway Detection and Localization in Aerial Images Using Deep Learning" used neural_networks to detect the runway area in images using Mask R-CNN (region-based convolutional neural_networks) segmentation. The disadvantage of this approach, on the other hand, is the need for a large amount of data to teach the neural_network. This paper presents a method for measuring the position of an aircraft relative to the runway based on artificial neural_networks (ANN) analyzing camera images. Based on the edge of the runway and the horizon line, the parameters that are input to the . . .
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