Robot car

In an Autonomous Robots course, we developed a high-speed racing kiwi car capable of navigating a track while detecting cones and competing cars. The project utilized C++ in a Linux environment with a microservice architecture to ensure modularity and efficiency

Chalmers University of Technology

Actions

• Explored and applied advanced image processing techniques for accurate cone detection.

• Trained a custom kiwi car detection model using YOLO (You Only Look Once) to identify and track competing vehicles.

• Integrated detection outputs into a steering control system to guide the car’s autonomous movement.

Situation

Tasks

Results

• Successfully achieved real-time object detection and responsive navigation.

• Demonstrated precise maneuvering and competitive autonomous performance, highlighting effective integration of detection, decision-making, and control systems.

• Designed and implemented detection systems for cones and competing kiwi cars.

• Developed autonomous navigation algorithms to enable efficient, competitive performance on the track.

Photo credit Chalmers University of Technology