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Welcome to the CARLA documentation.

Search for: login; Cart; join; stores; SHOP BY STYLE. SHOP ALL; New Arrivals; Earrings; Bracelets. 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.

This home page contains an index with a brief description of the different sections in the documentation. Feel free to read in whatever order preferred. In any case, here are a few suggestions for newcomers.

  • Install CARLA. Either follow the Quick start installation to get a CARLA release or make the build for a desired platform.
  • Start using CARLA. The section titled First steps is an introduction to the most important concepts.
  • Check the API. there is a handy Python API reference to look up the classes and methods available.

The CARLA forum is available to post any doubts or suggestions that may arise during the reading.


Warning

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Change the docs version to fit the CARLA version you are using. Use the panel in the bottom-right side of this window to change to previous versions. The Latest version points to documentation in the dev branch which may refer to features currently in development and not available in any packaged version of CARLA, as well general documentation improvements.

Getting started

Introduction — What to expect from CARLA.
Quick start — Get the CARLA releases.

Building CARLA

Linux build — Make the build on Linux.
Windows build — Make the build on Windows.
Update CARLA — Get up to date with the latest content.
Build system — Learn about the build and how it is made.
Running in a Docker — Run CARLA using a container solution.
F.A.Q. — Some of the most frequent installation issues.

First steps

Core concepts — Overview of the basic concepts in CARLA.
1st. World and client — Manage and access the simulation.
2nd. Actors and blueprints — Learn about actors and how to handle them.
3rd. Maps and navigation — Discover the different maps and how do vehicles move around.
4th. Sensors and data — Retrieve simulation data using sensors.

Advanced steps

OpenDRIVE standalone mode — Use any OpenDRIVE file as a CARLA map.
PTV-Vissim co-simulation — Run a synchronous simulation between CARLA and PTV-Vissim.
Recorder — Register the events in a simulation and play it again.
Rendering options — From quality settings to no-render or off-screen modes.
RSS — An implementation of RSS in the CARLA client library.
SUMO co-simulation — Run a synchronous simulation between CARLA and SUMO.
Synchrony and time-step — Client-server communication and simulation time.
Traffic Manager — Simulate urban traffic by setting vehicles to autopilot mode.

References

Python API reference — Classes and methods in the Python API.
Blueprint library — Blueprints provided to spawn actors.
C++ reference — Classes and methods in CARLA C++.
Recorder binary file format — Detailed explanation of the recorder file format.
Sensors reference — Everything about sensors and the data they retrieve.

Plugins

carlaviz — web visualizer — Plugin that listens the simulation and shows the scene and some simulation data in a web browser.

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ROS bridge

ROS bridge documentation — Brief overview of the ROS bridge and a link to the full documentation

Tutorials — General

Add friction triggers — Define dynamic box triggers for wheels.
Control vehicle physics — Set runtime changes on a vehicle physics.
Control walker skeletons — Animate walkers using skeletons.
Generate maps with OpenStreetMap — Use OpenStreetMap to generate maps for use in simulations.
Retrieve simulation data — A step by step guide to properly gather data using the recorder.
CarSim Integration (Beta) — Tutorial on how to run a simulation using the CarSim vehicle dynamics engine.
RLlib Integration — Find out how to run your own experiment using the RLlib library.
Scenic — Follow an example of defining different scenarios using the Scenic library.

Tutorials — Assets

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Citizen of rome - dynasty ascendant download for mac. Add a new map — Create and ingest a new map.
Add a new vehicle — Prepare a vehicle to be used in CARLA.
Add new props — Import additional props into CARLA.
Create standalone packages — Generate and handle standalone packages for assets.
Map customization — Edit an existing map.
Material customization — Edit vehicle and building materials.

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Tutorials — Developers

Contribute with new assets — Add new content to CARLA.
Create a sensor — Develop a new sensor to be used in CARLA.
Create semantic tags — Define customized tags for semantic segmentation.
Customize vehicle suspension — Modify the suspension system of a vehicle.
Generate detailed colliders — Create detailed colliders for vehicles.
Make a release — For developers who want to publish a release.
Generate pedestrian navigation — Obtain the information needed for walkers to move around.

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Contributing

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Contribution guidelines — The different ways to contribute to CARLA.
Code of conduct — Standard rights and duties for contributors.
Coding standard — Guidelines to write proper code.
Documentation standard — Guidelines to write proper documentation.