There are 10 repositories under carla-simulator topic.
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
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
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:
(CVPR 2022) A minimalistic mapless end-to-end stack for joint perception, prediction, planning and control for self driving.
A research framework for autonomous driving
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
The Combined Anomalous Object Segmentation (CAOS) Benchmark
converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things
How to run CARLA simulator on colab
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
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
Generating training data from the Carla driving simulator in the KITTI dataset format
A simple tool for generating training data from the Carla driving simulator
This repository will provide tools and news about The OmniScape Dataset
VR driving simulator based on CARLA for behavioural and interaction research. https://arxiv.org/abs/2201.01931
carla simulator for autonomous driving research
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.
TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components
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.
Attacking Vision based Perception in End-to-end Autonomous Driving Models
Self -driving cars specialization by the university of toronto at coursera
Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.
GUI tool for creating simulation scenarios with Carla simulator
CARLA, açık kaynaklı bir otonom sürüş simülatörüdür.
Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗
Simulate precise LiDAR point cloud data from Carla
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
Path Planning and Control module with CARLA and ROS BRIDGE
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.
Autonomous Vehicle Projects using the CARLA simulation environment