carla

Open-source simulator for autonomous driving research.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Decision Intelligence Platform for Autonomous Driving simulation.

Traffic scenario definition and execution engine

Learn how to use CARLA with basic APIs

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Implementation of the real-time MPC based on iLQR in Carla simulator

Visualize carla in the web browser

Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models

Be Driven 🚘

PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".

[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment

converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things

通过carla-ros-bridge在carla上实现自动驾驶planning and control。