Note: This fork is really out of date with the current version of CARLA.
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 urban 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.
We are continuously working on improving CARLA, and we appreciate contributions from the community. Our most immediate goals are:
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]
@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 = {2017}
}
Use git clone
or download the project from this page. Note that the master
branch contains the latest fixes and features, for the latest stable code may be
best to switch to the stable
branch.
Then follow the instruction at How to build on Linux or How to build on Windows.
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.
If you run into problems, check our FAQ.
CARLA specific code is distributed under MIT License.
CARLA specific assets are distributed under CC-BY License.
Note that UE4 itself follows its own license terms.