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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: Perceptronics Solutions, Inc. Topic: ST17C003
CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared ImagerySBC: TOYON RESEARCH CORPORATION Topic: 1
On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: Cordillera Applications Group, Inc. Topic: ST17C003
The objective of this proposal is to examine the feasibility of defining and measuring key dimensions of an urban system to include its essential functions and networks, and whether they can be modelled in a computational framework for assessing robustness and resilience of DUTs (and their tipping points) under conditions of volatility and stress. This proposal will conduct a comprehensive review ...STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
SBC: HIGH PERFORMANCE IMAGING LLC Topic: AF18AT006
Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...STTR Phase I 2018 Department of DefenseAir Force
SBC: NUTRONICS, INC. Topic: AF18AT006
Nutronics, Inc. and Montana State University propose to develop and evaluate computational methods for a Volume Digital Holographic Wavefront Sensor (VDHWFS).VDHWFS based imaging offers the potential to provide the equivalent of wide field of view adaptive optics (AO) compensated imaging, but without the added complexity of AO components and hardware.Recent result for coherent imaging developed by ...STTR Phase I 2018 Department of DefenseAir Force
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF18AT007
Phase I of this effort involves the creation of a comprehensive end-to-end model of a novel holographic polarimeter.The polarimeter that can be constructed based on our model will be able to determine the full polarization properties (Mueller matrix elements) of scattering, reflecting and absorbing media as a function of the materials depth.Unlike previous attempts, this system will be a real-time ...STTR Phase I 2018 Department of DefenseAir Force
SBC: UTOPIACOMPRESSION,CORPORATION Topic: AF15AT34
Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...STTR Phase II 2016 Department of DefenseAir Force
SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC Topic: AF17CT01
The Air Force is seeking solutions for a sun-tracking millimeter wave radiometer to measure atmospheric attenuation over a high dynamic range. The V- and W- bands have rarely been used for space communications and telemetry applications, but rapidly increasing government and commercial bandwidth needs will require future solutions within these bands. Our team, comprised of experienced scientists, ...STTR Phase I 2018 Department of DefenseAir Force
SBC: APPLIED DEFENSE SOLUTIONS, INC. Topic: AF17CT02
This is a prototype system that will take raw observation data, detect and characterize maneuvers, and use reinforcement learning to understand and react to evasive RSO behaviors in near real time. This will provide a framework to evaluate autonomous behavior strategies, such a safety, effectiveness, and robustness to manipulation. This work will enable surveillance operators to distinguish betwee ...STTR Phase I 2018 Department of DefenseAir Force
Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite BehaviorsSBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF17CT02
Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...STTR Phase I 2018 Department of DefenseAir Force