Curated List of Self-Driving Cars and Autonomous Vehicles Resources logo

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

Free
FreeFree tier
Type
Open Source

About Curated List of Self-Driving Cars and Autonomous Vehicles Resources

A curated list of resources for self-driving cars and autonomous vehicles, organized into categories including foundations, courses, papers, research labs, datasets, open source software, hardware, toys, companies, media, and laws. Inspired by awesome-php, this repository serves as a starting point for anyone interested in the field, from beginners to researchers.

Key Features

Organized into 11 categories: Foundations, Courses, Papers, Research Labs, Datasets, Open Source Software, Hardware, Toys, Companies, Media, Laws
Includes links to machine learning, deep learning, robotics, and computer vision resource lists
Features courses from Coursera, Udacity, Stanford, MIT, and other universities
References research papers and reading roadmaps
Lists open source software and hardware for autonomous driving
Covers companies and media related to autonomous vehicles

Pros & Cons

Pros
  • Comprehensive and well-organized categorization of resources
  • Free and open-source on GitHub
  • Includes contributions from the community
  • Covers both foundational and advanced topics
Cons
  • May not be regularly updated; relies on community pull requests
  • Some links may become outdated over time

Best For

Self-study for aspiring autonomous vehicle engineersAcademic research reference for autonomous driving topicsCurating educational materials for courses on self-driving carsDiscovering open source tools and datasets for autonomous vehicle projects

FAQ

What is awesome-autonomous-vehicles?
It is a curated list of resources for self-driving cars and autonomous vehicles, inspired by awesome-php. The list is maintained as an open-source GitHub repository.
How can I contribute to this list?
You can send pull requests to add links or resources that are relevant to autonomous vehicles.
What categories are covered?
Categories include Foundations, Courses, Papers, Research Labs, Datasets, Open Source Software, Hardware, Toys, Companies, Media, and Laws.