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.


Design and implement a neuro-symbolic program search module for autonomous navigation in urban environments.


  • 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


Autonomous Driving, Neuro-Symbolic Modeling, Urban Environment