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:
- Testing deep-learning-based architectures for heterogeneous data fusion
- Real data based imitation learning
- AI based maneuver selection
- Development of a Hybrid Framework Combining Model Predictive Control and Deep Reinforcement Learning
- Automatic generation of high-definition maps with neural networks from satellite views
- Emergency Planner Trajectory generator
- Exploring dynamic tokenization techniques for visual transformers
Advisor/Co-Advisor: Prof. Matteo Ferrara
Note: A foundational understanding of neural networks, deep learning, and proficiency in Python programming are required