| KEYWORD |
22-Progetto e sviluppo di sistemi e tecnologie aerospaziali
Image processing tramite algoritmi di machine learning o deep learning di immagini da small-sats interplaneteri a supporto della navigazione di rover marziani
Reference persons FABRIZIO STESINA
Research Groups 22-Progetto e sviluppo di sistemi e tecnologie aerospaziali
Description The thesis aims to develop strategies and algorithms supporting navigation of a planetary rover on Mars making use of terrain images acquired by a drone at a height of 5-20 meters above the ground and a constellation of small satellites at 80-150 km. Objective is to identify obstacles and define specific traversability maps.
The thesis will take place according to the following points:
• State-of-the-art analysis of machine and deep learning algorithms used for similar applications
• Definition of the requirements according to a specific use case and the available datasets to be used for training and system testing
• Development of algorithms possibly starting from existing open-source solutions and / or pre-trained algorithms
• Verification of the solution by simulation and / or laboratory tests made using dedicated facilities
Note: the thesis will be developed within the SINAV project funded by the Italian Space Agency.
Required skills Basics on Space missions and systems
Python and C/C++
Basics on image processing
Deadline 30/06/2023
PROPONI LA TUA CANDIDATURA