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
Traffic scenario definition and execution engine
Decision Intelligence Platform for Autonomous Driving simulation.
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"
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.
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
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
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
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
通过carla-ros-bridge在carla上实现自动驾驶planning and control。
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