Award Data

During phase 1 research an innovative, low cost, low maintenance, high strength, semi-portable infrastructure (building and foundation) for a Holistic Health and Fitness (H2F) Soldier Performance Fitness Center (SPFC) will be designed and developed in close cooperation with the Army's Technical Point of Contacts (TPOCs) during a 3 month Period of Performance (PoP). Burchell Professional Group Inc. ...

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Special Operations Forces (SOF) require an intuitive LCNC platform and tailored trainings to enable members of its operational units to prep field data for decision making. SOF are charged with conducting military missions of high significance on behalf of the United States and its allies. SOF encounter a diverse and nuanced series of data during missions and during preceding ISR operations; as su ...

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ZenoLeap LLC proposes to exploit its ongoing research and development of uncooled quantum infrared detectors, to enable the development of larger focal plane arrays (FPAs) based on this technology. This effort will build on ZenoLeap’s Phase I success in demonstrating high-speed quantum dots/graphene van der Waals heterostructures photodetectors with uncooled figure-of-merit detectivity D* up to ...

AeroMancer Technologies proposes to develop a Dome Lidar system for hemispherical early warning detection and tracking of threats using a compact, eye-safe infrared active electro-optic sensor. Current early warning detection systems are radar-based and are too large to be deployed on the same platform where laser-based countermeasures are installed. Our proposed method for achieving hemispherical ...

Modern deep learning-based face recognition systems perform at or above human levels on high quality frontal imagery, but their performance suffers significantly on more operationally relevant imagery with confounding factors such as extreme pose.  This performance degradation is based on two primary shortcomings: poor match between training and test-time image data, and failure to model inherent ...

To support the U.S. Army's needs for approaches to training deep-learning (DL) algorithms with scarce visible/IR data and data annotations, ARiA proposes CEATR (Common Embeddings for Aided and automatic Target Recognition), a learning framework designed to learn robust embeddings to reduce dataset shift--that is, the variations in datasets that prevent models from generalizing.  ARiA will build o ...

Proposed herein is further development and commercialization of the advanced portable neutron radiation identifier, imager, and neutron equivalent dose meter: Neutron Radiation Identifier (NRID). This device is a small, portable, cost effective, military-grade, capable neutron-imaging instrument for identification, localization, differentiation, and human dose equivalent measurement. The purpose o ...