Award Data

Effective Live, Virtual, and Constructive (LVC) training methods have been underutilized within ground-based training operations. More specifically, Battlefield Airmen training methods have not fully adopted or incorporated recent advances in augmented reality (AR) technologies into their training due to specialized training requirements. To address this issue, the Aptima team will design and deve ...

To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to develop DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system will combine a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-aided mult ...

Triton is proposing to continue developing a family of preceramic materials and formulations that will produce group 4 (Zr and Hf) carbides and carbide/boride mixtures in good yield. The target yield for the program is 60 vol%. These materials will be used in a polymer infiltration and pyrolysis process to produce ultrahigh temperature ceramic matrices in ceramic matrix composites useful for hyper ...

In Phase 2 project, Vuronyx Technologies in collaboration with Georgia Institute of Technology, will further optimize the composite panels using high strength and high modulus carbon fibers synthesized from polyacrylonitrile (PAN) precursors, and utilize them for aerospace related components.Results in Phase 1 demonstrated the high strength and modulus of the fibers, higher than anything available ...

Virtual EM INC. in collaboration with Case Western Reserve University (CWRU) proposes to develop a highly expandable, lightweight and flexible sensor network for structural health monitoring (SHM) by directly addressing the roadblocks of high size, weight, and power requirements and high communication bandwidth. CWRU has recently advanced the state-of-the-art by developing and testing a custom fr ...

Acumentrics, Wright State, and GoHypersonic are partnering to deliver a robust solution to the need for power generation for long duration hypersonic platforms. This solution considers not only the direct generation of power using a highly efficiency fuel cell package, but overall vehicle requirements. This work utilizes existing commercial technology in developing this unique solution.Specific po ...

The team of Boston Fusion Corp., University of Illinois at Urbana-Champaign, and Syracuse University proposes Phase II of UMIMMI: Universal Multivariate Information Measures for Multisensor Inference, a research program that studies multivariate information measures and uses these to construct optimal, universal algorithms and to lay a framework for general multivariate reasoning. We can then appl ...

ABSTRACT: The rapid continued development of unmanned air systems (UAS) is enabling new mission types, in-creased mission effects, and increased airman safety. However, these advances also present numerous challenges to airman-machine interaction, tactics development, and defense. The rapid development pace has produced a situation where new technologies are outpacing the knowledge of how best to ...

ABSTRACT: Mayflower proposes a novel Positioning, Navigation and Timing (PNT) solution specifically designed for use in challenging RF environments (intentional or unintentional jamming and spoofing) that enables uninterrupted navigation capability for wide ranges of military and commercial applications. Tactical units with spectrum sensing capable cognitive radios (CR) or scanners deployed in the ...

ABSTRACT: LongShortWay Inc and NorthEastern University propose new feature clustering methods that improve performance of motion imagery classifiers. Developed algorithms will be demonstrated on AFRL Minor Area Motion Imagery (MAMI) data; BENEFIT: Enhanced classifier performance, robust feature selection