This repository serves as a comprehensive, community-driven resource for autonomous driving (AD) technology. It curates surveys, papers, courses, and learning communities, targeting engineers, researchers, and students interested in the full AD stack, from perception to planning and control. The primary benefit is a structured overview of a rapidly evolving field, offering learning paths and access to cutting-edge research.

How It Works

The repository is organized into numerous categories, each dedicated to a specific sub-field within autonomous driving. It aggregates and links to a vast collection of academic papers, survey articles, and educational courses. The content is structured to guide users through complex topics like BEV perception, sensor fusion, SLAM, and large models in AD, providing a roadmap for learning and research.

Quick Start & Requirements

• Access: Primarily through browsing the repository's README and linked resources.
• Requirements: No direct software installation; requires internet access to view linked papers, courses, and community platforms.
• Resources: Links to external platforms like "Knowledge Planet" (paid community), official course pages, and paper repositories (e.g., arXiv).

Highlighted Details

• Extensive coverage of nearly all AD sub-domains, including perception (BEV, multi-modal, occupancy), localization, sensor calibration, planning, prediction, and model deployment.
• Curated learning routes and over 100 survey papers covering emerging trends like LLMs, NeRFs, and end-to-end driving.
• Links to numerous datasets (nuScenes, KITTI, Waymo, etc.) and specific papers with summaries.
• Information on a paid community ("Knowledge Planet") offering direct Q&A with engineers and job referral channels.

Maintenance & Community

• Maintained by the "Autonomous Driving Heart" team.
• Encourages community contributions and discussions.
• Contact information provided via WeChat and email for inquiries.

Licensing & Compatibility

• The repository itself appears to be un-licensed or under a permissive license allowing free access to the curated information.
• Linked papers and courses are subject to their respective licenses and terms of use.

Limitations & Caveats

The repository is a curated list and does not provide direct code implementations or tools for autonomous driving. Access to some premium learning resources and community features may require payment or registration on external platforms.