Award Data

FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...

The Sonalysts Team proposes to investigate, design, and develop a training system leveraging state-of-the art game and agent-based technologies with"TRILOGY,"a Modeling, Simulation, and Training (MST) system capable of three core capabilities: training, rehearsal, and analysis/CONOPS development. Sonalysts will leverage their latest commercial-off-the-shelf (COTS) game engine, Simulation Engine I ...

Tier1 Performance Solutions proposes to develop CSAT (Common Situation Awareness Tool), a solution that supports more effective event integration and task management, in order to improve situation awareness and knowledge sharing for missile defense system users and stakeholders. At the core of the CSAT solution is an active knowledge management platform designed so that all users share a common sc ...

This Small Business Technology Transfer project will develop a mathematical framework and enabling technologies for context-aware target classification and selection for missile defense systems in the presence of counter-measures and clutter in realistic scenarios. Based on statistical relationship learning (SRL) methodology, the proposed framework can reason simultaneously about multiple entries ...

San Diego Composites (SDC), Inc. is teamed with the University of Maine and Raytheon Missile Systems to provide the solution for corrosion of Missile Defense Agency assets in harsh marine environments: innovative design and application of high performing composite components. It is well known that composite materials are inherently corrosion resistant and possess superior properties that can be ...

The objectives of our Phase I effort are to characterize target sensor measurement uncertainties and feature extraction uncertainties; determine how and where, in the processing chain, these affect target discrimination and classification; show how the different sources of uncertainty lead to the cumulative uncertainty in the final decision; provide techniques that will be instrumental to optimizi ...

Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...