Open-source simulator for autonomous driving research.

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

👉 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

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

Learn how to use CARLA with basic APIs

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:

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

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

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

Visualize carla in the web browser

Be Driven 🚘

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

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".

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。

World Model based Autonomous Driving Platform in CARLA 🚗