Open-source simulator for autonomous driving research.

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

An OpenAI gym wrapper for CARLA simulator

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

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

[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

Official github page of UCF SST CitySim Dataset

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

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:

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

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

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

A research framework for autonomous driving

VR driving 🚙 + eye tracking 👀 simulator based on CARLA for driving interaction research

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

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model

The Combined Anomalous Object Segmentation (CAOS) Benchmark

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

A multi-stack, ETSI compliant, V2X framework for ns-3.

🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.

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

Reinforcement Learning Agents Trained in the CARLA Simulator

[CVPR 2026] A research framework for autonomous driving in CARLA, features TransFuser v6. Accompanies the paper "LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving"

Open-source vehicle and robotics simulator for research.

SHIFT Dataset DevKit - CVPR2022

Self -driving cars specialization by the university of toronto at coursera