The company offers a preview of its new AI-powered simulation software for drones, air taxis and other advanced aerial mobility (AAM) vehicles. Project AirSim can be used to build, train, and test autonomous drones through hyper-realistic simulations of real-world scenarios. The goal is to help drone makers encode autonomy without the need for deep expertise in AI.
The software is a result of five-year-long research and experimentation with deep learning and AI. Using Project AirSim’s high-fidelity simulations, drone AI models can run through millions of flights in seconds, learning how to react to countless variables much as they would in the physical world.
Using data from Bing Maps and other providers, Microsoft is curating a ready-to-use library of simulated 3D environments of both urban and rural landscapes under Project AirSim. This library would be able to pull up specific locations, like New York City or London, or generic spaces, like an airport.
Microsoft also plans to work with global regulators on how Project AirSim might help with the certification of safe autonomous systems. The platform can be used to create potential scenarios that an autonomous vehicle must successfully navigate.