ft-euler

Pathfinding for an autonomous racecar

I developed and delivered a pathfinding system for an autonomous car in Formula Student UK 2023. To define my approach to the problem, I read relevant academic papers to understand the current state of the field, and then summarised them for consumption by the rest of the team. Another important task I undertook was defining input and output specifications for the system. This was done in close collaboration with other team leads. Before competition, we iteratively tested and refined the system based on both real-world and simulated data. Nearly all simulations of our pathfinding stack were done in a simulator I created.

• Team size: 4

• Platforms:

  • Windows
  • macOS
  • Linux

• Technologies:

  • Python
  • Git
  • GitHub Actions