Matteo FerraraCourse: Master’s Degree in Computer Science and Engineering
Type: Research at VisLab
Abstract: Master’s theses are available at the VisLab on the following topics:
Pedestrian intention forecasting
Testing new architectures for a neural network-based planner
Development of a network based on a hybrid imitation and reinforcement learning approach
Automatic generation of high-definition maps with neural networks
Automatic generation of simulated scenarios for autonomous driving
System design and GUI development for managing power and health functions of an autonomous vehicle
Design and implementation of a power management system for autonomous vehicles
Testing deep-learning-based architectures for heterogeneous data fusion
Advisor/Co-Advisor: Prof. Matteo Ferrara
Note: A foundational understanding of neural networks, deep learning, and proficiency in Python programming are required [...]
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Matteo FerraraCourse: Laurea Magistrale in Ingegneria e Scienze Informatiche
Type: Progetto
Abstract: Sviluppo di un’interfaccia che permetta l’interazione con ChatGPT tramite il robot NAO
Advisor/Co-Advisor: Prof. Matteo Ferrara
Note: Richieste conoscenze di base di Deep Learning. [...]
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Matteo FerraraCourse: Laurea Magistrale in Ingegneria e Scienze Informatiche
Type: Progetto
Abstract: Addestramento di reti neurali profonde per la classificazione di luoghi di interesse in ambienti simulati.
Advisor/Co-Advisor: Prof. Matteo Ferrara e Dott. Matteo Scucchia
Note: Richieste conoscenze di Deep Learning. Per approfondire l’argomento si consiglia di consultare i seguenti articoli scientifici:
S. Lowry, N. Sunderhauf, P. Newman, J. J. Leonard, D. Cox, P. Corke, and M. J. Milford, “Visual Place Recognition: A Survey”, IEEE TRANSACTIONS ON ROBOTICS, VOL. 32, NO. 1, FEBRUARY 2016 [...]
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