WyverNN

Wyvernn enhances the localization of drones and aircraft in GPS/GNSS-denied environments by leveraging machine learning and data from existing onboard sensors.

At the borders of the European Union, GNSS signals are frequently jammed, causing significant issues for civilian aircraft landing in countries near the Baltic Sea. These disruptions lead to delays, cancellations, and diversions, resulting in passengers being unable to reach their families and causing economic losses of hundreds of thousands of euros daily.

To achieve this, we use modern machine learning architectures combined with Physics-Informed Neural Networks (PINNs) to filter out errors from sensors already present on aircraft and drones. Our models are able to analyse and model time series data of proprioceptive sensors such as inertial platforms, pitot tubes and more.  By combining the data from these sensors, we can calculate accurately the path traveled by the aircraft and subsequently its position, significantly improving localization accuracy, providing a reliable and precise position even in the absence of GNSS signals.

Our solution relies on the Galileo High Accuracy Service (HAS) to train artificial intelligence model uses to calculate the relative position during the GNSS outages or adverse meteo condition when relaying on lasers or other vision based systems. 

Once operational, our system can locate the aircraft starting from the last Galileo HAS-verified position, even after GNSS signals are no longer available. Additionally, our technology can map GNSS disturbances and enable military drones and aircraft to operate effectively in GNSS-denied environments.

Since our solution it's a sofware which relies on existing sensors, doesn't need the installation of new hardware on the already existing aircraft, making us able to retrofit existing civilian and military fleets. We're working in the Aircraft Navigation System Market extimated globally at 19.6 billions euros. Considering all the civilian and the military fleets of Europe our market is around 30% of that. Our beechhead market is low cost airliners in Europe, flying over GNSS disturbed areas, which can be extimated in 20% of that.

Thanks to our solution, it is also possible to enhance the resilience and reliability of devices that use the Galileo constellation for localization, improving positioning reliability throughout a better signal tracking across all Europe.

Our team consists of four engineers:

• Valerio Lomanno is an aerospace engineer with expertise in economics, gained through his experience working at a venture capital fund and as a business analyst in a startup.
• Simone Rotondi is a control engineer specializing in artificial intelligence, currently working at a leading European space company.
• Salvatore Cassano is a space engineer with expertise in GNSS, working as a localization engineer for a prominent Italian space company.
• Matteo Berti is a space engineer specializing in manufacturing prototypes for AI training.