AirSim
| Developer(s) | Microsoft |
|---|---|
| Initial release | February 16, 2017 |
| Stable release | 1.4.0
/ January 8, 2021[1] |
| Repository | github |
| Written in | C++ |
| Engine |
|
| Operating system | Windows 10, macOS, Linux |
| Type | Flight simulator |
| License | MIT License |
| Website | microsoft |
AirSim (Aerial Informatics and Robotics Simulation) is an open-source, cross platform simulator for drones, ground vehicles such as cars and various other objects, built on Epic Games’ Unreal Engine 4 as a platform for AI research.[2] It is developed by Microsoft and can be used to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.[3][4] This allows testing of autonomous solutions without worrying about real-world damage.
AirSim provides some 12 kilometers of roads with 20 city blocks and APIs to retrieve data and control vehicles in a platform independent way. The APIs are accessible via a variety of programming languages, including C++, C#, Python and Java. AirSim supports hardware-in-the-loop with driving wheels and flight controllers such as PX4 for physically and visually realistic simulations. The platform also supports common robotic platforms, such as Robot Operating System (ROS). It is developed as an Unreal plug-in that can be dropped into any Unreal environment. An experimental release for a Unity plug-in is also available.[5][6]
See also
References
- ^ "Tags · microsoft/AirSim · GitHub". GitHub AirSim repository. Retrieved 2021-01-24.
- ^ "Microsoft AI simulator includes autonomous car research". www.digitaljournal.com. November 26, 2017.
- ^ "Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research: Microsoft/AirSim". 30 March 2020.
- ^ "Microsoft AirSim, a Simulator for Drones and Robots". InfoQ.
- ^ "AirSim on Unity: Experiment with autonomous vehicle simulation". blogs.unity3d.com. November 14, 2018.
- ^ "Microsoft's open source AirSim platform comes to Unity". VentureBeat. November 14, 2018.
Further reading
- Shital Shah; Debadeepta Dey; Chris Lovett; Ashish Kapoor (2017-11-03). "AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles".
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