First steps in CARLA: New to CARLA? Need some help with your first steps? This tutorial will get you up and running.ROS bridge: CARLA's ROS bridge enables seamless connection with the Robot Operating System.Traffic Manager: CARLA's Traffic Manager controls NPCs to challenge your autonomous driving agent.The simulator also gives access to privileged information such as ground truth semantic segmentation and depth information. Sensors: CARLA boasts an impressive array of models of real world sensors like cameras, LIDAR and RADAR.Actors: CARLA's actors are entities that interact within the simulation like vehicles, pedestrians and traffic signals.Quickstart: Getting started with CARLA is easy, this guide will show you how to install and run the simulator.Here are some highlights covering some of CARLA's most useful and requested features. Autonomous Driving baselines: we provide Autonomous Driving baselines as runnable agents in CARLA, including an AutoWare agent and a Conditional Imitation Learning agent.ĬARLA's functionality is covered extensively in the documentation.
Traffic scenarios simulation: our engine ScenarioRunner allows users to define and execute different traffic situations based on modular behaviors.Maps generation: users can easily create their own maps following the OpenDrive standard via tools like RoadRunner.Fast simulation for planning and control: this mode disables rendering to offer a fast execution of traffic simulation and road behaviors for which graphics are not required.Autonomous Driving sensor suite: users can configure diverse sensor suites including LIDARs, multiple cameras, depth sensors and GPS among others.Flexible API: CARLA exposes a powerful API that allows users to control all aspects related to the simulation, including traffic generation, pedestrian behaviors, weathers, sensors, and much more.
Scalability via a server multi-client architecture: multiple clients in the same or in different nodes can control different actors.
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