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.

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

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

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

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

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".

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.

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

[CVPR2024] ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles https://arxiv.org/abs/2405.14062

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

Tools for dataset generation based on CARLA simulator. (Data Collector)

Train auto_car in CARLA simulator with RL algorithms(SAC).

reinforcement learning based agents for self-driving in CARLA

applying multi-agent reinforcement learning for highway-merging autonomous vehicles