There are 0 repository under carla-driving-simulator topic.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
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:
[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]
Self Driving Cars Longitudinal and Lateral Control Design
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
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
An implementation of a full motion and behavior planning pipeline for a self-driving car in the CARLA simulator.
A simple yet effective repo for object detection based on the FCOS architecture.
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
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
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.
Codebase of paper "DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving" published at ITSC 2022 đź“ť
Module for deep learning powered, stateful imitation learning in the CARLA autonomous vehicle simulator.
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
This program record the trajectory of manual_control of Carla python API. It can also repeat the same trajectory
This Dockerfile pulls and modifies the official Dockerhub image of Carla Simulator (carlasim/carla:0.9.12) to add missing dependencies
navigate.AI is a travel assistance system that uses artificial intelligence (AI), this project is developed in the programming language "Python" and has the objective of using "Deep Reinforcement Learning" to safely guide a car.
Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model
Custom Traffic Light Images Dataset from CARLA using RGB Camera
Volatility plugins to recover ML model attributes from memory images
This generator creates valid variations of carla scenarios in XML
Behavioural Planner for Obstacle Avoidance on Carla 9 based on 3D Semantic Segmentation of Point Cloud using SalsaNext
CARLA Simulator, Xbox One controller, Fanatec DD1 wheels, adjustable rear view mirrors, share memory model
Perspective transformation (birds eye) tool, for easy experimenting and finding the right transformation values.