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Search-Based Software Testing for Self-Driving Cars

Primary supervisor

Aldeida Aleti

Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques, mainly in the area of search-based software testing to verify that the AI components of self-driving cars work as they should. This project is in collaboration with Professor Hai Vu and the Monash Connected Autonomous Vehicle (MCAV) team.

Required knowledge

Artificial Intelligence

Machine learning

Software Testing

Genetic Algorithms

Learn more about minimum entry requirements.