Thesis Code: 19023

Thesis Type: B.Sc. thesis in Computer Science, Mathematics, or equivalent

Research Area: Data Science for Industrial and Societal Application


  • Knowledge of Python
  • Software development skills

Self-driving technology presents a rare opportunity to improve the quality of life in many of our communities. Avoidable collisions, single-occupant commuters, and vehicle emissions are choking cities, while infrastructure strains under rapid urban growth. Autonomous vehicles are expected to redefine transportation and unlock a myriad of societal, environmental, and economic benefits. From a technical standpoint, however, the bar to unlock technical research and development on higher-level autonomy functions like perception, prediction, and planning is extremely high. For this reason, we want to integrate available open data, with synthetic data created with the aid of a virtual environment.
The objective of this thesis consists in the study and implementation of a framework useful for collecting data of surrounding vehicles in a virtual environment. This is created with the help of dedicated tools for extracting information from the Grand Theft Auto V graphic engine and AirSim open source simulator.
The candidate will have both the task of creating the framework for extracting data and studying and evaluating the best way to save them. The data created will be used for machine learning algorithm in future works.

Contact: send a resume with attached the list of exams to specifying the thesis code and title.