Donkeycar: A Python Self-Driving Library
Donkeycar is a minimalist and modular self-driving library built for Python enthusiasts. It is specifically designed for hobbyists and students who are eager to delve into the world of autonomous vehicles. With its focus on rapid experimentation and ease of community contributions, it serves as a perfect platform for learning and research, especially at high school and university levels. Donkeycar offers users a rich graphical interface and even includes a simulator, enabling individuals to experiment with self-driving technologies before they embark on building a physical robot.
Why Use Donkeycar?
Donkeycar is an ideal choice for those who aim to build and program a robot to drive autonomously. It facilitates experimentation with various technologies such as autopilots, GPS, computer vision, and neural networks. Additionally, Donkeycar enthusiasts can participate in self-driving races like DIY Robocars, which include exciting online simulator races against global competitors. The project is backed by an active and vibrant online community, making it an exciting opportunity to learn cutting-edge technology while having fun.
Getting Started: Prerequisites
One of the remarkable aspects of Donkeycar is its simplicity and accessibility. It is designed to be a ‘Hello World’ for autonomous driving, meaning that it is both simple to use yet flexible and powerful. While no specific prerequisite knowledge is necessary, familiarity with certain areas can be beneficial:
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Python Programming: The configuration file,
myconfig.py, is written in Python. Understanding basic Python concepts like comments and indentation can help avoid common mistakes. -
Raspberry Pi: While not mandatory, having experience with setting up and using a Raspberry Pi can be advantageous since it's the preferred onboard computer for Donkeycar.
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Linux Command Line: Basic knowledge of the terminal or command line shell is useful for installing and starting Donkeycar software. Skills such as navigating the file system, and knowing how to handle files and directories can be beneficial.
Building and Driving
Once the necessary components are in place, the journey begins with building a Donkeycar and installing the Donkeycar software. Users can select an autopilot template and calibrate their car to start driving. Detailed guides are provided to assist in hardware building, software installation, and car calibration.
Customizing Your Car
Donkeycar comes with a variety of pre-built templates that make starting easy through simple configuration changes. However, for those eager to explore more, Donkeycar allows modifications or even the creation of new templates. Each template functions as a pipeline of software parts, executing in sequence, and interacting with the vehicle’s software memory. Common functions that these parts handle include:
- Capturing images via various cameras, including 3D and lidar systems.
- Acquiring positional data from GPS receivers.
- Receiving steering and throttle commands from game controllers. Donkeycar supports a broad range of controllers such as PS3, PS4, XBox, and more.
- Managing the car’s drivetrain motors for acceleration and steering.
- Recording telemetry data like camera images, steering inputs, and more.
- Operating the car in autopilot mode using deep-learning, GPS, and computer vision.
Users can also create custom parts if existing ones do not meet their needs, and integrate them into their vehicle template.
Conclusion
Donkeycar stands out as an excellent educational and practical platform for those interested in autonomous vehicles. Visit the Donkeycar homepage, explore the documentation, or join the community on Discord to learn more and dive into the world of self-driving technology.