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Shipped Academic

Autonomous Racing Robot Car

A self-driving kiwi car that follows a course of cones and races against other cars, built in the Autonomous Robots course at Chalmers.

Challenge

Make a small high-speed "kiwi" car drive itself: stay on a track marked with traffic cones, spot competing cars and steer to stay ahead.

What I did

  • Explored image-processing techniques for reliable cone detection.
  • Trained a custom YOLO model to detect and track competing kiwi cars.
  • Connected the detection outputs to the steering control that guided the car.
  • Built the whole pipeline in C++ on Linux as a set of microservices, which kept perception, decision-making and control modular.

Outcome

  • Real-time object detection and responsive navigation.
  • Precise manoeuvring and competitive autonomous performance on the track.
  • A working end-to-end system: perception → decision → control.

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