carla-simulator

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

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

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

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:

Official github page of UCF SST CitySim Dataset

A research framework for autonomous driving

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

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

The Combined Anomalous Object Segmentation (CAOS) Benchmark

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

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

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

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

Reinforcement Learning Agents Trained in the CARLA Simulator

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

How to run CARLA simulator on colab