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carla-simulator/carla

An open-source simulator for autonomous driving research, providing a flexible platform and open digital assets for the development, training, and validation of AD systems.

Core Features

Open-source platform for autonomous driving research

Provides open digital assets (urban layouts, buildings, vehicles)

Supports flexible sensor suites and environmental conditions

Integrates with Unreal Engine 5.5 for high-fidelity visuals

Extensible ecosystem with tools like ROS-bridge, Scenario Runner, Autoware integration

Quick Start

git clone -b ue5-dev https://github.com/carla-simulator/carla.git CarlaUE5

Detailed Introduction

CARLA is an advanced open-source simulation platform specifically designed for autonomous driving research. It offers a comprehensive environment for the development, training, and validation of autonomous driving systems by providing high-fidelity urban layouts, vehicles, and a flexible sensor suite. Built on Unreal Engine, CARLA allows researchers to simulate diverse environmental conditions and traffic scenarios, fostering innovation in AD technology. Its rich ecosystem and open assets make it a valuable tool for the global AD research community.