| KEYWORD |
Area Engineering
Video Synthetic Data for Machine Learning
Thesis in external company
keywords MACHINE LEARNING, MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS, SYNTHETIC DATA, VIDEO-PROCESSING
Reference persons FABRIZIO RIENTE
Research Groups VLSILAB (VLSI theory, design and applications)
Description Vehicles become more connected and autonomous and the occupant experience inside the vehicle becomes even more important. From comfort to noise to the human machine interface, simulation plays a crucial role in engineering the safe and interactive passenger experience of the future. The Thesis goal is to combine Camera and Radar simulations allowing a virtual replication of the driving experience to create a synthetic dataset to train new Machine Learning models to recognize dangerous in-cabin situations.
Required skills Python
Deadline 03/04/2025
PROPONI LA TUA CANDIDATURA