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.

Welcome Skills

Python/Tensorflow/OpenCV

Supervisor:
M. Chiaberge, V. Mazzia, F. Salvetti, D. Aghi

Code: 2020PIC02

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.

Welcome Skills

C++/Geeks

Supervisor:
M. Chiaberge, S. Silvestro, G. Dara, G. Fantin

Code: 2020PIC07

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.

Welcome Skills

C++/Geeks/Control

Supervisor:
M. Chiaberge, S. Silvestro, G. Dara

Code: 2020PIC08

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.

Welcome Skills

C++/java/Android

Supervisor:
M. Chiaberge, S. Silvestro, G. Dara, D. Aghi

Code: 2020PIC09