GraphCanon updated today · GitHub synced today
Trust & integrity
Full report- Maintenance
- Very active (1d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- 6 low (6 low)
- As of today · Source: osv@v1
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
Open-source simulator for autonomous driving research.
Capability facts
- Languages
- c++
Source: github.language · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
- [Python API reference](https://carla-ue5.readthedocs.io/en/latest/python_api/)Source link
Tags
README
CARLA Simulator
CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.
[!NOTE] This is the development branch
ue5-devfor the Unreal Engine 5.5 version of CARLA. This branch exists in parallel with the Unreal Engine 4.26 version of CARLA, in theue4-devbranch. Please be sure that this version of CARLA is suitable for your needs as there are significant differences between the UE 5.5 and UE 4.26 versions of CARLA.
Recommended system
- Intel i7 gen 9th - 11th / Intel i9 gen 9th - 11th / AMD Ryzen 7 / AMD Ryzen 9
- +32 Gb RAM memory
- NVIDIA RTX 3070/3080/3090 / NVIDIA RTX 4090 / NVIDIA RTX 5090 or better
- 16 Gb or more VRAM
- Ubuntu 22.04 or 24.04, or Windows 11
[!NOTE] You must use either Ubuntu 22.04 or 24.04, or Windows 11. The Unreal Engine 5.5 version of CARLA will not work on Ubuntu 20.04 or Windows 10 or lower.
Documentation
The CARLA documentation is hosted on ReadTheDocs. Please see the following key links:
- Building on Linux
- Building on Windows
- First steps
- CARLA asset catalogue
- Python API reference
- Blueprint library
CARLA Ecosystem
Repositories associated with the CARLA simulation platform:
- CARLA Autonomous Driving leaderboard: Automatic platform to validate Autonomous Driving stacks
- Scenario_Runner: Engine to execute traffic scenarios in CARLA 0.9.X
- ROS-bridge: Interface to connect CARLA 0.9.X to ROS
- Driving-benchmarks: Benchmark tools for Autonomous Driving tasks
- Conditional Imitation-Learning: Training and testing Conditional Imitation Learning models in CARLA
- AutoWare AV stack: Bridge to connect AutoWare AV stack to CARLA
- Reinforcement-Learning: Code for running Conditional Reinforcement Learning models in CARLA
- RoadRunner: MATLAB GUI based application to create road networks in OpenDrive format
- Map Editor: Standalone GUI application to enhance RoadRunner maps with traffic lights and traffic signs information
Like what you see? Star us on GitHub to support the project!
Paper
If you use CARLA, please cite our CoRL’17 paper.
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros,
Felipe Codevilla, Antonio Lopez, Vladlen Koltun; PMLR 78:1-16
[PDF]
[talk]
@inproceedings{Dosovitskiy17,
title = {{CARLA}: {An} Open Urban Driving Simulator},
author = {Alexey Dosovitskiy and German Ros and Felipe Codevilla and Antonio Lopez and Vladlen Koltun},
booktitle = {Proceedings of the 1st Annual Conference on Robot Learning},
pages = {1--16},
year