Microsoft Project AirSim for aerial autonomy
We are currently entering a new era of discovery, and autonomous aviation autonomy is the most significant development revolutionizing the aerial metaverse. This technology opens the door to innovation by revolutionizing how we imagine, build, and use aerial autonomy, but it has remained out of reach for many due to the extreme complexity required to train these autonomous systems.
Microsoft Project AirSim is an end-to-end platform for safely creating, training, and validating autonomous agents through high-fidelity simulation to address the world’s evolving mobility needs. Project AirSim offers an open, extensible, and modular platform that minimizes effort and enables quicker time to market. It also generates large volumes of data for training AI models at scale and has pre-trained AI building blocks that save time and reduce risk with accurate and programmable simulation environments.
Microsoft undertaking Airsim is an ai-first platform that allows you to mimic any environment and then accelerate autonomy using pre-trained ai models to adapt and expand aerial solutions without the requirement for knowledge in specialist ai and data elements inspired by years of Microsoft research.
AirSim uses real-world synthetic and hybrid data from a plethora of sensors to simulate planet-scale geo-specific environments under countless conditions to safely perceive learn and act. We are providing customers with a programmable platform on which they can build any solution they can imagine, test it in dynamic simulation faster than in real-time, and improve it until it is validated and ready to certify to meet the highest safety standards for deployment in the real world.
Microsoft is working with some of the most visionary partners to learn and discover in ways that simply aren't possible in the real world, with project AirSim Microsoft is accelerating mobility to give customers the power to reimagine their businesses in the age of autonomy and this is just the beginning
- Powerful tools in a flexible platform - Project AirSim makes autonomy achievable through flexibility, integration, and extensible building blocks to create solutions at any scale.
- High-fidelity simulation - Procedurally built virtual 3D GIS-based environments reduce the sim-to-real gap
- Data at any scale - Capture massive amounts of experience data to train your autonomous AI models
- Pre-trained AI models - Speed up development with customizable, pre-trained AI building blocks
- Full-lifecycle platform - Get to market faster with an open ecosystem to develop, train, validate, and deploy
- Accurately simulate the real world - Safely build, train, and test autonomous agents with an accurate and programmable simulation of sensors, physics, airframes, batteries, and pre-built, geo-specific, dynamic environments. Improve cost and save time as you develop perception models at scale through high-fidelity, reusable simulations.
- Integrate real-world, synthetic, and hybrid data - Programmatically generate large volumes of synthetic labeled data and combine them with data from first- and third-party providers to speed your AI training. Easily search, merge, and manage data sets in the cloud to enhance autonomy models.
- Accelerate autonomy with AI models - Start with customizable, pre-trained AI building blocks to accelerate development and eliminate the need for AI expertise to build autonomy across all phases of flight. Project AirSim provides the launch pad you need to quickly build, test, and validate autonomous solutions and deploy them safely.
- Innovate quickly on an end-to-end platform - Close the sim-to-real gap on an open, extensible, and modular platform. Run SIL/HIL tests safely at the cloud scale. Leverage a growing ecosystem of models and solutions from partners and get certified faster.
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