Introduction Current interplanetary surface exploration depends on human teleoperation of robots, which helps ensure the rover’s safety, but also limits operations since direct line of sight with communications equipment on Earth is needed. This may limit the amount of the surface of the planetary body the rover can cover over Read more…
Mosaic ATM has been awarded our first task order through the SETIS contract vehicle assisting the FAA with an automation evolution strategy.
We are pleased to announce that Mosaic has been awarded a project at the Florida NextGen Testbed (FTB) supporting Common Support Services – Flight Data (CSS-FD). CSS-FD is a service available to the broad aviation enterprise for flight planning, flight plan filing, and for the exchange of real-time, dynamic, flight Read more…
To realize the full power of machine learning, organizations need to focus on operations and delivery of the predictions as much as the development of the algorithm itself. In the case of NASA and ATD-2, building trust in the machine learning predictions is essential to expanding their use to improve inefficient operations and unused capacity. Air traffic controllers must trust the recommendations presented by them, and validation is essential towards building trust.
Mosaic lays out an approach to developing a flight data analysis suite that can be used to solve common airspace system problems.
COMETTS is designed to address training on all of the TFM systems that currently exist in the NAS, including TFMS, TBFM, NTML, En Route Automation Modernization (ERAM), Voice Switching and Control System (VSCS), plus the Corridor Integrated Weather System (CIWS), Integrated Terminal Weather System (ITWS), Weather and Radar Processor (WARP), and other weather displays.
Mosaic is excited to announce our support for the FAA NextGen Office, working with ATCorp. Mosaic will examine how AI and ML can improve trajectory modeling in TBFM, and how these improvements could be applied to other automation systems or a common trajectory modeler.
Mosaic is thrilled to announce the selection of a NASA SBIR Phase II research project. In Phase II, Mosaic will continue work to improve Unmanned Aircraft System (UAS) and National Airspace System (NAS) safety. Risks posed by sUAS to manned aircraft continue to increase as sUAS operations expand. To improve Read more…
Mosaic is thrilled to announce the selection of a NASA SBIR Phase II proposal. We will continue our work on the Cloud FMS project, read more about Phase I here. We propose to build a Cloud-Based Flight Management System (FMS), whereby safety-critical functions residing on the flight deck are separated Read more…
The taxi-out time predictions help pilots decide when to “single-engine taxi”: taxi most of the way to the runway with only a single-engine turned on, turning on the second engine just a few minutes before take-off. The single-engine taxi decision is typically made by pilots within an hour of push back. Still, our customer asked for predictions up to four hours in advance of the expected push back time.