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.

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

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:

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

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

[ICCV'23] Hidden Biases of End-to-End Driving Models

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

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

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

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