Air Traffic Control
Data Fusion is the backbone of Metal Raptor's solution for Airspace management. Accurately predicting aircraft trajectories and seamlessly blending in multiple data feeds to provide a full scale situational awareness picture in Class G Airspace. Leveraging ensemble learning across multiple machine learning algorithms and striving to avoid the black box nature of neural networks, we believe our software will offer unprecedented scale, speed and accuracy.
How We Provide Visibility to Class G Airspace
Leveraging location data from Cellular carriers that helps identify non ADS-B aircraft and combining that information with historical traffic, we are able to very accurately predict future trajectories of piloted and autonomous craft. And once that information is blended with other real time flight databases & run through our models, a very comprehensive picture of the airspace is available.
Advantages for Customers
Working with a single provider of aircraft locations and potential flight paths allows drone delivery companies and other autonomous and semi-autonomous flight organizations to focus on successful delivery and arrival and avoid having to become an expert in blending multiple streams of data and predicting the behavior of other aircraft in Class G airspace.