SBIR-STTR Award

BGI-LLC proposes to conduct research of an algorithm that merges Navy carrier and aircraft data that, when animated, provides insight into the landing performance. BGI will perform research, assembling substantive knowledge on the Navy source data, its fidelity and sources of uncertainty. BGI will use this knowledge in its research for methodological advancement, developing algorithms to compensate for the uncertainty in the data. Independently, BGI will examine the fidelity requirements of an animation. This will quantify operationally desirable attributes of the animation and support its evaluation. The algorithms, when applied to the data, will be processed within BGIs Flight Visualization and Data Analysis (FVDA) software. This software will inherently manage the data in real-time with emphasis on data integrity. The FVDA will animate the corrected Navy source data resulting in the depiction of a carrier landing by an aircraft. These research products will provide the Navy with the insight that is desired.

Benefit:
This Research and Development will result in technology advancement to support a variety of military and non-military applications, including Flight Operations Quality Assurance (FOQA), Military FOQA (MFOQA), Air Combat Maneuvering Instrumentation (ACMI) systems, unmanned vehicle command and control and real-time shipping vessel movement in harbor environments.

Keywords:
Embarked Landing, Embarked Landing, GPS (Global Positioning System), animation, Visualization, data analysis, Navigation correction algorithms, Debriefing, Military Flight Operations Quality Assurance (MFOQA)

The United States Navy has identified a need for a tool to assist the training of Landing Signal Officers (LSOs) that provides visualization and analysis of data from embarked carrier landings. BGI, LLC (BGI) has proposed a solution for training LSOs by leveraging the existing Carrier Visualization After-Action Review (AAR) product to create a Landing Signal Officer-Data Analysis Toolkit (LSO-DAT) that will allow LSO trainers to perform data analysis, visualization and produce data reports that could help inform and develop more accurate, real world models based on objective data. The main focus of this paper discusses the technical objectives to creating an LSO-DAT by enhancing the automated performance measurement and assessment of carrier landings that BGI has developed in previous iterations. Further, this paper discusses the deliverables and estimated cost to create the LSO-DAT to satisfy the Navys pressing need.

Benefit:
BGI has domain expertise in Naval Aviation training. The nature of these programs includes collecting and managing large amounts of data and providing actionable results to the end user. This is achieved by ingesting data and domain knowledge, then performing analysis on that data and domain knowledge to create outputs that will inform LSO trainers and aid in the development of more accurate, real world models.

Keywords:
real world models, quantify empirical , develop accurate, analysis and reporting, and increase , enhance understanding through application of custom queries, MAGIC CARPET data, CARPET data, training optimization., perform visualization of MAGIC