OPEN POSITIONS - MASTER THESIS
Deep learning methodologies for image segmentation in precision agriculture applications
The thesis objective is to design and train a Deep Learning segmentation algorithm able to extract with a real time solution the binary map of a vineyard starting from drone imagery.
M. Chiaberge, V. Mazzia, F. Salvetti, D. Aghi
Swarm flight with PX4-based quadcopters
Thesys on swarm flight, fleet of 2-4 quadcopters running PX4, need to modify QGroundControl for controlling multiple vehicles with the goal of a final demo.
M. Chiaberge, S. Silvestro, G. Dara, G. Fantin
PX4 customization, drivers, mixers
Thesys on PX4 open source flight stack environment, from data link to real time operating system, custon peripheral driving and control mixing for autopilot customization.
M. Chiaberge, S. Silvestro, G. Dara
UAV/UGV control&navigation with smartphone
The thesis goal is to optimize an Android app implementing a drone autopilot with PID controller using smartphone sensors (IMU, GNSS, WiFi, Camera) and make it fly.
M. Chiaberge, S. Silvestro, G. Dara, D. Aghi