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CARLA is a platform for developing, training, and validating autonomous driving systems. It offers open digital assets, flexible sensor suites, environmental conditions, maps generation, traffic scenarios, ROS integration, and more.
- Blog
CARLA 0.9.2: Upgraded ROS-bridge, Traffic scenario engine...
- About
Vladlen Koltun - Apple. Vladlen is a Distinguished scientist...
- Services
ORGANIZATION. The CARLA team spans the globe and is made up...
- CARLA 0.9.13 Release
The 0.9.13 release of CARLA is finally here, so read on to...
- CARLA 0.9.15 Release
CARLA 0.9.15 Release | CARLA Simulator. SimReady and NVIDIA...
- Blog
- Overview
- CARLA Ecosystem
- Paper
- Building CARLA
- Contributing
- CARLA Talks
- Licenses
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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.
If you want to benchmark your model in the same conditions as in our CoRL’17 paper, check out Benchmarking.
Linux:
•Get CARLA overnight build
•Get AdditionalMaps overnight build
Windows:
Repositories associated to 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
If you use CARLA, please cite our CoRL’17 paper.
CARLA: An Open Urban Driving Simulator
Use git clone or download the project from this page. Note that the master branch contains the most recent release of CARLA with the latest fixes and features.
Then follow the instruction at How to build on Linux or How to build on Windows.
The Linux build needs for an UE patch to solve some visualization issues regarding Vulkan. Those already working with a Linux build should install the patch and make the UE build again using the following commands.
Unfortunately we don't have official instructions to build on Mac yet, please check the progress at issue #150.
Please take a look at our Contribution guidelines.
The team creates some additional content for users, besides the docs. This is a great way to cover different subjects such as detailed explanations for a specific module, latest improvements in a feature, future work and much more.
CARLA Talks 2020 (May):
•General
•Art improvements: environment and rendering — video | slides
•Core implementations: synchrony, snapshots and landmarks — video | slides
•Data ingestion — video | slides
CARLA licenses
CARLA specific code is distributed under MIT License.
CARLA specific assets are distributed under CC-BY License.
CARLA Dependency and Integration licenses
The ad-rss-lib library compiled and linked by the RSS Integration build variant introduces LGPL-2.1-only License.
Unreal Engine 4 follows its own license terms.
CARLA is an open-source simulator for developing, training, and validating autonomous driving systems. It provides open code, protocols, and digital assets, as well as documentation, examples, and ecosystem repositories.
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Nov 16, 2021 · CARLA is a realistic open-source simulator for autonomous driving research. Learn about the latest release that includes instance segmentation, runtime texture streaming, pedestrian 3D skeleton ground truth, Traffic Manager enhancements and new assets.
Nov 10, 2023 · CARLA is a realistic open-source simulator for autonomous driving. Learn about the latest version, which includes SimReady content import, new maps, procedural map and building tools, and more.
