There are 5 repositories under carla topic.
Open-source simulator for autonomous driving research.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Traffic scenario definition and execution engine
Decision Intelligence Platform for Autonomous Driving simulation.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Be Driven 🚘
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
Implementation of the real-time MPC based on iLQR in Carla simulator
converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things
How to run CARLA simulator on colab
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
Carla Imitation Learning Trainer
VR driving simulator based on CARLA for behavioural and interaction research. https://arxiv.org/abs/2201.01931
Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU
Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
2d Deep Reinforcement Learning environment with Carla
This project implements a functional motion planning stack for autonomous vehicles to avoid both static and dynamic obstacles while tracking the center line of a lane, while also handling stop signs.
Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.
Tools for dataset generation based on CARLA simulator. (Data Collector)
reinforcement learning based agents for self-driving in CARLA
Implementation of an Advanced Emergency braking system in CARLA
Learning Model Predictive Control (LMPC) for autonomous racing in CARLA 3D environment.
Simulate precise LiDAR point cloud data from Carla
A collection of utilities and tools for the JACK audio ecosystem
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comparing reinforcement learning algorithms. Trackable costs also enable the application of safe reinforcement learning algorithms.