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

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

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

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

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

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

Official github page of UCF SST CitySim Dataset

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:

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

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

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

A research framework for autonomous driving

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

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

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

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark