Abstract:
The usage of a completely bio-inspired neuronal model in the navigation of drones is a
challenging process. In this thesis, we propose several neuron models for different drone
flight scenarios that allow a drone to navigate its way and execute certain tasks using
only biologically plausible approaches. We proposed three scenarios, the first one focused
on motion camouflage which is most frequently used when an attacker mimics the optic
flow of the background. The second scenario handled the tracking of both ground and
flying targets, and in the last one, we proposed a cooperative system for drones to provide
cellular wireless covering to ground users
