Award Data

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

During the proposed Phase I research and development effort, the project team will use analysis and hot-fire testing to establish the feasibility of an approach to solid propellant formulation that greatly reduces the exhaust Infrared (IR) signature of the rocket motor while maintaining the thrust-to-mass-ratio of the existing, baseline solid propellant. The project team will formulate an array of ...

Biological vision systems capture and process extremely complex environments with high accuracy. Whereas conventional imaging systems require large amounts of memory and power to run, bio-inspired systems can maintain performance while reducing the size, weight, and power requirements. In this project, Areté proposes the development of a fully bio-inspired vision system for missile detection and ...

We are proposing to develop Neuro-IR Tracker, a system design for a bio-inspired sensor optimized to detect hypersonic missile targets. In Phase 1, we will design and assess the feasibility of a novel bio-inspired sensing system which includes Micro-Electro-Mechanical Systems (MEMS) microbolometer imager (MMI), brain-inspired image processor and realtime software detection tools. We will estimate ...

Attollo is proposing a read-out integrated circuit (ROIC), detector, and camera that will leverage a bio-inspired approach to seeing and processing a threat detection image. Processing only change detection within the Field of View (FOV) will save in transmission and processing of the sensor data reducing latency while also improving threat detection. Attollo will hybridize our Strained Layer Supe ...

There is a growing need to study the effects of radiation in space and during high-altitude flights on electronic systems. The ever increasing need for ground based testing has outstripped the supply of available accelerator facilities at which to perform this testing. In response to this problem, RadiaBeam, along with collaborators at Michigan State University and Particle Accelerator Corporation ...

Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

The objective of this project is to develop a capability to model fracture of materials used in hypersonic vehicles that results from hypervelocity impact while exposed to extreme temperatures. Symplectic Engineering’s approach addresses this challenge at two levels. At the computational level, a Relaxed Extended Finite Element approach is pursued to represent (possibly intersecting) fractures l ...

Current methods of validating the cyber resiliency of missile defense systems require testing of actual systems, which removes them from operation and subjects them to potentially damaging effects. Cyber ranges can be used as an alternative, but they are limited in scale, costly, time-consuming to configure and have limited capability to model wireless tactical networks and their inherent vulnerab ...