Depuis près de cinq ans, l’US Navy, la Marine nationale et la Royal Navy ont évalué la possibilité d’utiliser des drones aériens pour livrer des colis de moins de 25 kg [pièces mécaniques, produits médicaux, composants électroniques, etc.] à leurs navires en mer. Et...
The unstable nature of the dynamics of Unmanned Aerial Vehicles (UAVs) might significantly increase the complexity of their control strategies. In addition, some UAV systems require robust and fast stabilization to perform certain maneuvers. In particular, tail-sitter...
This thesis explores the use of Reinforcement Learning (RL) for controlling a fixed-wing UAV in attitude and waypoint tracking under varying wind conditions. Unlike traditional controllers such as PID or MPC that rely on accurate models, RL provides a data-driven...
This thesis explores the use of Reinforcement Learning (RL) for controlling a fixed-wing UAV in attitude and waypoint tracking under varying wind conditions. Unlike traditional controllers such as PID or MPC that rely on accurate models, RL provides a data-driven...
Unmanned Aerial Vehicle (UAV)-captured images are easily affected by various degradations such as motion blur, noise, low illumination, haze, and raindrops in complex environments, and these degradations exhibit significant differences in the frequency domain....
