Award Data

A distributed fault tolerant nondestructive evaluation (NDE) data reduction framework is proposed in which large NDE datasets are mapped to thousands to millions of parallel, independent processes running on a mobile device, standard computer, or a networked cluster of machines. Each process scans a subset of the data for flaws and as independent entities are unaffected by errors in fellow proces ...

The proposed novel program will develop and demonstrate a new approach to perform real-time relative vehicle localization within a swarm formation with application to communication-less coordination. These objectives are achieved by using Random Finite Sets statistics theory to solve the multiple object tracking problem. The swarm formation localization problem can be formulated as estimating the ...

We propose to develop MonitAR, an Augmented Reality (AR) system that provides procedure completion guidance to astronauts. MonitAR will replace guidance from mission control during periods of long time delay or when communication with Earth is not possible. Astronauts using AR glasses will receive feedback from MonitAR via visual cues as they progress through procedures on the spacecraft. The visu ...

For a vehicle in hypersonic flight, the natural transition of a boundary layer from laminar to turbulent flow depends on multiple factors including the free-stream conditions, the noise level and frequency spectrum of free-stream disturbances, the geometry of the vehicle and the vehicle surface properties.To predict boundary layer transition for flow over a given vehicle, one or more of these fact ...

ABSTRACT: SIFT proposes to build GEMINI (Gestalt Mixed-Initiative Intelligence), a shared workspace where humans and machines collaboratively assemble intelligence products. In a human-machine team, the collaborators have vastly different-- albeit complementary-- cognitive capabilities. Thus, a central research challenge is to expressively and soundly translate from analyst-centric interfaces (for ...

SIFT, working with research partner Dr. Richard Linares, proposes to develop SAVANT a Space Situational Awareness Visualization and Vulnerability Analysis Tool. SAVANT will rapidly assess the vulnerability of blue space assets to potential ground and space-based threats, and provide a heightened awareness of the mission impact posed by these threats so that space commanders may make timely decisio ...

ABSTRACT: The proposed Shape Extraction and Equivalent KEy Recognition (SEEKER) program will perform Automatic Target Recognition (ATR) of small targets (e.g. vehicles) from airborne LIDAR point clouds using a new method of recognition based on topological techniques. Recent years have seen rapid progress in the data collection abilities of airborne surveillance plat- forms. Key challenges remain ...

Air Traffic Management's lack of support for aircraft with different capabilities is a long standing and persistent issue that can limit the ability of the National Airspace System (NAS) to take full advantage of advanced aircraft capabilities. To fully utilize the variety of Trajectory Based Operations (TBO) concepts planned for the NAS, some of which utilize advanced aircraft capabilities for i ...

The Automated Real-Time Clearance Analyzer (ARCA) addresses the future safety need for Real-Time System-Wide Safety Assurance (RSSA) in aviation and progressively more trusted autonomy as will be explored in NASA's SMART-NAS and SASO within the Airspace Operations and Safety Program (AOSP). ARCA builds on recent advances in probabilistic (Bayesian) network modeling and the rapid expansion of big d ...

Adaptive control offers an opportunity to fulfill present and futureaircraft safety objectives though automatedvehicle recovery while maintaining performanceand stability requirements in the presence of unknown orvarying operating environment.Future aircraft are a natural application of adaptive control. Theseaircraft will be more fuel efficient, have longer operating ranges thoughmore flexible ai ...