Neuro-Symbolic Models for Autonomous Driving
Bachelor Thesis, Master Thesis
Neuro-symbolic modeling integrates symbolic reasoning and machine-learning-based representations altogether. For the case of autonomous driving, neuro-symbolic modeling is considered as a promising approach to represent the rule based-yet-uncertain navigation process for autonomous vehicles.
Goal
Design and implement a neuro-symbolic program search module for autonomous navigation in urban environments.
Requirements
- Prior knowledge in machine learning is required
- Hands-on programming is required (python)
- Hands-on experience with deep-learning programming frameworks is desirable
- Eagerness to learn and work hard
Keywords
Autonomous Driving, Neuro-Symbolic Modeling, Urban Environment
