👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

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

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:

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

Self Driving Cars Longitudinal and Lateral Control Design

TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components

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.

CARLA, açık kaynaklı bir otonom sürüş simülatörüdür.

Saving incoming camera sensor images data as Numpy arrays to generate ground truth data for semantic segmentation

Learning Model Predictive Control (LMPC) for autonomous racing in CARLA 3D environment.

Implementation of a Longitudinal and Lateral controller (2D) of an autonomous vehicle on Carla Simulator

A simple yet effective repo for object detection based on the FCOS architecture.

An implementation of a full motion and behavior planning pipeline for a self-driving car in the CARLA simulator.

This is the ultimate step-by-step guide for the final Project work of Coursera's Introduction to Self-Driving Car's Course on Carla Driving Simulator for Trajectory Tracking and PID controlling.

The goal of this project is to develop models capable of completing a variety of autonomous tasks within the Carla simulator.

Semantic Segmentation project for Autonomous Driving based on a TensorFlow implementation of UNet

Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.