Mosaic sought to provide an open and accessible model to predict the impacts of wind on air miles flown under an SBIR contract with NASA. Ultimately, this effort has developed a model that the broader aviation community can use as a publicly available data service.
Mosaic and Drone Traffic are excited to announce the release of our successful drone detection system test at Colorado’s Platte Valley Airpark. The system will alert an airplane pilot that a drone has entered the plane’s flight path. The safety system will alert manned aircraft to warn them of drones Read more
Mosaic ATM will build a Cloud-Based Flight Management System (FMS), whereby safety-critical functions residing on the flight deck are separated from non-safety-critical functions that reside in a cloud-based environment on the ground. This bifurcation of an FMS will open new markets and address use cases such as Urban Air Mobility. Read more
We are thrilled to announce that Lara Shisler is now Mosaic’s Senior Vice President of Corporate Development. Lara will continue to lead our effort to organize our corporate approach to operations, including project and contract management. Mosaic has become certified in the Capability Maturity Model Integration by the CMMI Institute. Read more
Mosaic lays out an approach to developing a flight data analysis suite that can be used to solve common airspace system problems.
As the aviation community integrates Unmanned Aircraft Systems (UAS) into the National Airspace System (NAS), one of the technical issues that must be handled concerns the Command and Control (C2) Link from the remote pilot Control Station (CS) to the UAS. The C2 Link can switch between carriers during the Read more
Mosaic is thrilled to announce the selection of a Phase 1 NASA SBIR, The Exchange Model for Harmonizing Model-Based System Engineering (MBSE) Products and Tools. This NASA SBIR will develop a Digital Engineering Information Exchange Model (DEIXM) based on open-source standards including SysML, UML, and ISO’s STEP – standards for Read more
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.
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.
Use of the Cloud has allowed commercial and Government systems to leverage the flexibility, scalability, reliability, and security of Cloud infrastructure to achieve significant efficiencies, and rapid innovation, in complex operational environments. The associated move to a micro-services Service Oriented Architecture (SOA) in the Cloud has further enhanced modularity, re-use of system capabilities, and simplification of verification and validation testing.