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25 lines (25 loc) · 1.1 KB
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cff-version: 1.2.0
title: "Autonomous-Driving Learning Atlas"
message: "If you use this atlas in research or teaching, please cite it."
type: dataset
authors:
- name: "ChatGPU / Autonomous-Driving-Learning-Atlas contributors"
repository-code: "https://github.com/ChatGPU/Autonomous-Driving-Learning-Atlas"
url: "https://chatgpu.github.io/Autonomous-Driving-Learning-Atlas/"
license: MIT
license-url: "https://github.com/ChatGPU/Autonomous-Driving-Learning-Atlas/blob/main/LICENSE"
keywords:
- autonomous driving
- reinforcement learning
- vision-language-action
- foundation models
- learning resources
- interactive knowledge graph
- bilingual
abstract: >
An interactive, opinionated, bilingual (中文/English) learning atlas that
organises a curated set of papers, video courses, and an essay into a single
knowledge graph for autonomous-driving researchers. The atlas provides
per-resource study cards, deep-anchored links into PDFs and lecture
timestamps, fully working Jupyter labs that re-derive each paper's central
claim, and reading playbooks tailored to different reader backgrounds.