Henil-08 / Pi-Car

In this world of Autonomous Cars, I have made a simple yet innovative Autonomous RC Car that uses very minimal and less costly Hardware and simple computer vision to Detect Green Lane Lines and drive bounded to them. It uses Raspberry Pi as it Master Processor with Slave Arduino Uno to Actuate the Car via I2C. It uses OpenCV and PyFirmata Module from Python Programming language and uses Hough Line Transformation Techniques to detect the Lane Lines

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Pi-Car

“Self-driving cars are the natural extension of active safety and obviously something we should do.” ~Elon Musk. In this world of Autonomous Cars, I have made a simple yet innovative Autonomous RC Car that uses very minimal and less costly Hardware and simple computer vision to Detect Green Lane Lines and drive bounded to them. Here's a Quick Look for my Car which I Coded, Assembled from scratch.

IMG_20210610_185109_615

To Get Started you'll need:

  1. Basic Knowledge of Python Programming Language
  2. Basic Knowledge of OpenCV Library
  3. How to use and Handle Raspberry Pi
  4. Some Mechanical Skills
  5. Most Importantly, Courage to handle Failure

Hardware Requirements for the Project:

  1. Raspberry Pi 4 ModelB (Any Ram Version)
  2. Arduino Uno (Any Arduino Board)
  3. L298N Motor Driver
  4. Any RC Car of your choice

About

In this world of Autonomous Cars, I have made a simple yet innovative Autonomous RC Car that uses very minimal and less costly Hardware and simple computer vision to Detect Green Lane Lines and drive bounded to them. It uses Raspberry Pi as it Master Processor with Slave Arduino Uno to Actuate the Car via I2C. It uses OpenCV and PyFirmata Module from Python Programming language and uses Hough Line Transformation Techniques to detect the Lane Lines

License:MIT License


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Language:Python 100.0%