Prediction of thermal currents for autonomous drone flight with Artificial Intelligence
Carlos G Catuogno, Guillermo R. Catuogno, David De Yong, Fernando H. Magnago, Guillermo Oscar García, Jonathan Emmanuel Bosso · 2021
This work presents the proposal for a method of prediction of thermal currents by means of neural networks, to facilitate decision-making in the flight of autonomous drones that use this form of energy to fulfill their missions. It is based on the experimental measurement during the flight of environmental parameters, geographical location, time and speed.