Microsoft unveiled the AirSim project, an innovation, at the Farnborough International Airshow. The AirSim project uses high-fidelity simulation to safely build, train, and test autonomous aircraft on the Azure platform. It is basically an artificial intelligence (AI) powered simulator for drones, flying taxis and other advanced air mobility (AAM) vehicles. Today, a limited preview of Project AirSim is available.
Project AirSim customers will also be able to access a library of specific locations, like New York or London, or generic spaces, like an airport, and create millions of precise 3D environments using data from Bing Maps and other suppliers.
What is the AirSim project? How does it work ?
Automation is important in a rapidly changing technological world, and Microsoft wants to accelerate autonomous flight by creating an end-to-end platform with the AirSim project. Although AirSim is already available and a popular research tool, it required extensive knowledge of coding and machine learning.
Microsoft has now turned this open-source tool into an end-to-end platformto make it easier for Advanced Aerial Mobility (AAM) customers to test and train AI-enabled aircraft in simulated 3D environments,
The power of Azure is being used by the AirSim project to produce massive amounts of data to train AI models on exactly what to do at every stage of flight, from takeoff to landing. by cruise.
Besides a collection of sophisticated and pre-trained AI models, it will also provide libraries of simulated 3D environments representing various urban and rural landscapes to accelerate autonomy in last mile delivery, aerial infrastructure inspection and urban air mobility.
Good news for the market
Commenting on the announcement, Gurdeep Pall, Microsoft vice president of technology business incubation and research, said:
Autonomous systems will transform many industries and enable many aerial scenarios, from last-mile cargo delivery in congested cities to inspecting downed power lines from a distance of 1,000 kilometers. But first we need to train these systems safely in a realistic, virtualized world. The AirSim project is an essential tool that allows us to bridge the world of bits and the world of atoms, and it shows the power of the industrial Metaverse — the virtual worlds in which companies build, test and refine solutions before apply them in the real world.
Through the AirSim project, manufacturers will be able to safely train future Advanced Air Mobility (AAM) systems in a virtualized world. Through the AirSim project, developers will have access to pre-trained AI modules, including sophisticated models for spotting and avoiding obstacles and performing precise landings.
By removing the need for deep machine learning expertise, these prebuilt capabilities expand the number of people who can begin training autonomous aircraft. Additionally, Microsoft said it was working closely with business partners to expand precise simulation to include weather, physics, and most importantly, the sensors an autonomous machine would use to “see” the world.