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, environmental conditions, full control of all static and dynamic actors, maps generation and much more. Multiple clients in the same or in different nodes can control different actors. 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. Users can configure diverse sensor suites including LIDARs, multiple cameras, depth sensors and GPS among others. Users can easily create their own maps following the OpenDrive standard via tools like RoadRunner.

Features

  • Open-source simulator for autonomous driving research
  • Scalability via a server multi-client architecture
  • Autonomous Driving sensor suite
  • Fast simulation for planning and control
  • Traffic scenarios simulation
  • Autonomous Driving baselines

Project Samples

Play Video CARLA Simulator Screenshot 1

Project Activity

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Categories

Simulation, Machine Learning, Autonomous Driving

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Simulation Software, C++ Machine Learning Software, C++ Autonomous Driving Software

Registered

2022-08-01
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