Project Title

AirSim — Open-Source Autonomous Vehicle Simulator for AI Research

Overview

AirSim is an open-source simulator for autonomous vehicles, built on Unreal Engine and Unity, developed by Microsoft AI & Research. It is designed to support AI research and experimentation, particularly in the areas of deep learning, computer vision, and reinforcement learning algorithms for aerial and ground vehicles. AirSim provides APIs for data retrieval and vehicle control in a platform-independent manner, making it a versatile tool for software-in-the-loop and hardware-in-the-loop simulations.

Key Features

Cross-platform support for Windows and Linux
Integration with popular flight controllers like PX4 & ArduPilot
Support for both software-in-the-loop and hardware-in-the-loop simulations
APIs for data retrieval and vehicle control in a platform-independent way
High-fidelity simulations for drones, cars, and more

Use Cases

Researchers and developers using AirSim to test and develop AI algorithms for autonomous vehicles
Educational institutions using AirSim for teaching and learning purposes in the field of autonomous systems
Companies in the aerospace industry using AirSim for safe development and testing of aerial autonomy

Advantages

Open-source and cross-platform, allowing for community contributions and wide applicability
Supports both Unreal Engine and Unity, catering to a broad range of developers and use cases
Provides a high level of realism in simulations, enhancing the development of AI algorithms
Offers APIs for easy integration and control, facilitating research and experimentation

Limitations / Considerations

The project is set to be archived in the coming year, with Microsoft focusing on a new simulation platform, Project AirSim
Users will still have access to the original AirSim code, but no further updates will be made
The transition to Project AirSim may require learning new tools and features

Gazebo: An open-source robotics simulator that provides a 3D environment for simulating robots and their sensors. Unlike AirSim, Gazebo is more focused on ground robots and does not have the same level of integration with flight controllers.
Carla: An open-source simulator for autonomous driving research. While Carla is also built on Unreal Engine, it is specifically designed for vehicle simulations and does not support aerial vehicles like AirSim.
ROS (Robot Operating System): A flexible framework for writing robot software, which includes simulation tools like Gazebo. ROS is more general-purpose and not specifically tailored to autonomous vehicles like AirSim.

Basic Information

GitHub: https://github.com/microsoft/AirSim
Stars: 17,481
License: Unknown
Last Commit: 2025-09-08

📊 Project Information

Project Name: AirSim
GitHub URL: https://github.com/microsoft/AirSim
Programming Language: C++
⭐ Stars: 17,481
🍴 Forks: 4,774
📅 Created: 2017-02-14
🔄 Last Updated: 2025-09-08

🏷️ Project Topics

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🎮 Online Demos

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📚 Documentation

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AirSim

Project Description