Course: 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