This code is the result of the collaboration of RL Turkey team.

A Rust client library for Airsim.

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

Reinforcement learning for an AirSim quadrotor implemented in Unity

This repository, "Autonomous Driving System On Various Platforms", details the exploration and implementation of autonomous driving systems across platforms such as AirSim, Android, Raspberry Pi 4, and Nvidia's Jetson Nano, utilizing Lidar, image processing, and machine learning technologies.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Wi-Fi6 Collision avoidance simulator for Microsoft AirSim

Drone navigation and obstacle avoidance by deep reinforcement learning and transfer learning (IN PROCESS)

Deep Q-learning in AirSim quadrotor environment.

A System to allow integration of unsupported Radio Controllers with Microsoft AirSim Simulator for Unreal Engine 4 without any coding required, as well as provide general APIs for handling Real Drones.

A 3d cloud mesh is generated from a, set of photos taken from a drone, in airsim environment.

These are two Interfaces to fly drones in AirSim simulator.

Optimal drone aeronautical route calculation for making emergency delivery system using drones.

"Create a virtual environment for agriculture UAVs with AirSim in Unreal Engine 4.27, enabling realistic simulation and analysis of crop management techniques in a digital context."

Controlling Vehicles with ROS1_bridge and ROS2 on Ubuntu 20.04 - AirSim Simulation Environment

Entrenament d’un model de IA en un entorn virtual per a la seva aplicació en la extinció d’incendis forestals: Prova de concepte - Universitat Oberta de Catalunya - Treball Final de Grau

Based on the data generated from FRCNN test, this program shows how the drone will fly according to it.

An autonomous drone racing system integrating vision-guided trajectory adjustments with MPC for planar control and PID for elevation. Real-time visual feedback refines gate localization and trajectory generation, ensuring efficient and accurate navigation.

Work in Progress