# OpenDriveLab/End-to-end-Autonomous-Driving

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Repository: https://github.com/OpenDriveLab/End-to-end-Autonomous-Driving
Canonical: https://ross.abutalabs.com/products/end-to-end-autonomous-driving
Homepage: https://doi.org/10.1109/TPAMI.2024.3435937
License: MIT
License Family: permissive
Topics: end-to-end-autonomous-driving, autonomous-driving, policy-learning, simulation
Last push: 2025-07-02T05:27:46+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 29, release rhythm 35, longevity 89
- inputs: {"age_days": 1247, "days_push": 427, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3681, forks 338 (observed 2026-08-28T04:08:13.768493+00:00)

## What it is
A curated collection of resources for end-to-end autonomous driving research, accompanying an IEEE T-PAMI survey paper. It aggregates talks, courses, paper collections, benchmarks, datasets, and competitions for the community.

## Use cases
- find papers on end-to-end autonomous driving
- learn self-driving car fundamentals as a beginner
- discover benchmarks and datasets for driving research
- track autonomous driving competitions and challenges
- survey the state of the art in policy learning for driving

## When to choose
- you are starting research in end-to-end autonomous driving
- you need a curated reading list or survey of the field
- you are looking for driving benchmarks, datasets, or challenges

## When to avoid
- you need runnable driving software or a simulation framework itself
- you want production-grade autonomous driving code

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, simulation, computer-vision
- domain: autonomous-vehicles, artificial-intelligence, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, survey, autonomous-driving, end-to-end, paper-collection, benchmarks, research

## Member repositories
- OpenDriveLab/End-to-end-Autonomous-Driving (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.768493+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:13.594249+00:00, confidence not recorded.
  - readme: https://github.com/OpenDriveLab/End-to-end-Autonomous-Driving (fetched 2026-08-28T04:08:13.768493+00:00, sha 8418edf80805)
  - homepage: https://doi.org/10.1109/TPAMI.2024.3435937 (fetched 2026-08-29T09:25:27.947541+00:00, sha a71131a397bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.