hamuchiwa/AutoRCCar
A self-driving RC car that uses a neural network trained in OpenCV to process camera images and make steering decisions.

Velocity · 7d
+0.8
★ / day
Trend
→steady
star history
This project builds a miniature autonomous vehicle using a Raspberry Pi, Arduino, and Python. The Raspberry Pi streams video from an on-board camera and ultrasonic sensor data to a host computer. A neural network model processes the image frames to detect stop signs and traffic lights, and predicts steering angles for autonomous navigation. Commands are sent back to the Arduino to control the RC car in real time.