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Donkey Car

Donkey Car is an open source DIY self driving platform for small scale cars. It provides all the necessary software and hardware guidance to build and program your own autonomous vehicle. Use a Raspberry Pi, a camera, and a motor controller to get started. Train models using TensorFlow or PyTorch and deploy them on your car.

Introduction

Donkey Car is an accessible open-source platform for experimenting with self-driving technology. It allows hobbyists, students, and researchers to build, train, and deploy autonomous vehicles at a fraction of the cost of traditional methods.

  • Open Source: Fully customizable and community-driven.
  • Affordable: Uses readily available and inexpensive hardware components.
  • Educational: Great for learning about robotics, machine learning, and autonomous systems.
  • Scalable: Supports various sensors and configurations.
  • Cross-Platform: Works on multiple operating systems and hardware platforms.
How to Use
  1. Gather the required hardware: Raspberry Pi, camera, motor controller, and chassis.
  2. Install the Donkey Car software on your Raspberry Pi.
  3. Collect training data by manually driving the car.
  4. Train a neural network model using the collected data.
  5. Deploy the trained model to your car for autonomous driving.

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