A Raspberry Pi vehicle-vision system combining sign detection, lane following and video streaming.
Developed through Chista Robotics Team activity.
Served on the team as a hardware and embedded programmer, with responsibilities covering firmware, sensor integration, motor drivers and real-time control.
Used Raspberry Pi 4, PiCamera2 and Python.
Sign-detection backends progressed from template matching to a custom CNN to YOLOv5.
Used binary-threshold and centroid-based lane following.
Implemented UDP JPEG streaming.
Produced a vision and track-following system.