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DroNet: Efficient convolutional neural network detector for Real-Time UAV applications
An autonomous, vision-based Bebop drone.
A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.
Python algorithms for real-time visual tracking of hostile drones using optical systems. Part of DroNet project by aerospace engineering students.
Implementation of "Q-Learning based stepwise routing protocol" using the DroNet simulator (La Sapienza -Autonomous networking course).