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.
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.