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  1. CARLA is an open-source autonomous driving simulator. It was built from scratch to serve as a modular and flexible API to address a range of tasks involved in the problem of autonomous driving. One of the main goals of CARLA is to help democratize autonomous driving R&D, serving as a tool that can be easily accessed and customized by users.

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    • Overview
    • CARLA Ecosystem
    • Paper
    • Building CARLA
    • Contributing
    • CARLA Talks
    • Licenses

    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.

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  4. Nov 27, 2018 · CARLA is an open-source simulator built on top of the Unreal Engine 4 (UE4) gaming engine, with additional materials and features providing: a LIDAR. a depth map (emulating a stereo camera,...

  5. Jan 1, 2022 · CARLA is a powerful simulator that encompasses tools to develop, train and validate the systems in controlled scenarios. This paper presents a detailed overview of the CARLA, discussing its simulation engine, client-server architecture, urban environment, and a variety of sensors.

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  7. Apr 18, 2023 · This blog post will look at the CARLA simulator, an open-source simulation platform you can use to develop, train and validate autonomous driving software. It offers a variety of features, from multi-client support to a flexible API. It supports actors and agents in line with its goal to achieve high authenticity.

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