Award Data

DeepBx is an X-ray backscatter inspection system for detection and identification of threats hidden within or behind concrete walls. Four key features distinguish DeepBx from other backscatter approaches: • Ultra-compact Ku-band 1-MeV linac generating energy and current modulated X-ray pulses. Such pulses allow temporal coding of the penetration depth of X-rays within the wall. inspected object. ...

There is significant interest in multi-functional materials enabling gamma-ray spectroscopy, neutron/gamma pulse shape discrimination (PSD), ultra-fast response, and time-of-flight (TOF) neutron detection. These materials would be used in a variety of mission scenarios for the localization and monitoring of special nuclear materials. Commercial inorganic scintillators offer some of these character ...

Toyon proposes R&D of algorithms that process high-frame-rate video collected by two or more independently moving cameras to measure 3D displacements of remote surfaces. To support this, we will collect data along with ground truth. We will develop an algorithm that processes synchronized video data to estimate 3D camera motion for multiple cameras. We will develop an algorithm that creates high-r ...

To address the DTRA’s need for a multi-camera aerial photogrammetry solution accurately measuring dynamic deformations of 3-dimensional surfaces while permitting relative camera movement, Physical Optics Corporation (POC) proposes to develop a new Sensor-Fusion-Enhanced Multi-camera Aerial Photogrammetry (SFEMCAP) system. It will utilize commercial off-the-shelf, low-size, -weight, and -power sa ...

To address the Defense Threat Reduction Agency (DTRA) need for a new quantum-resistant blockchain framework that has the capability to preserve mission-critical enterprise data despite catastrophic nuclear, electromagnetic pulse, and/or cyberwarfare attacks on the United States, Physical Optics Corporation (POC) proposes to develop a new Quantum-resistant Blockchain (QChain) framework and software ...

Improving the effectiveness of counter-WMD operations requires improved understanding of weapon-target interaction. Specifically, time-resolved measurements of temperature and composition are required to allow temporal evolution of a detonation fireball. To address this need, SA Photonics will develop MONITOR, a laser-based temperature diagnostic that will enable wide dynamic range temperature mea ...

Mapping radiological and nuclear materials over large areas in the context of potential structural and battlefield damage with minimum risk to the Warfighter remains a challenge in the defense community. The current state-of-the-art radiation detection systems require multiple stationary measurements to produce multiple images of large areas in 2D. This project will leverage recent advancements in ...

SoarTech proposes DeepCounter: a system that automatically learns UAS and C-UAS behaviors across multiple tasks using DRL within a 3D simulation environment. Our system addresses several gaps in applying state of the art DRL to learn C-UAS and UAS behaviors. First, our existing DRL framework extends the state of the art to work with variable numbers of heterogenous agents. Our work in Phase I will ...

The Counter-UAS Reinforcement learning Environment (The CURE) is a flexible, architecture-agnostic reinforcement learning (RL) training, evaluation, and demonstration environment paired with a state-of-the-art benchmark agent. The CURE is designed to allow researchers and RL experts to design, train, and test groundbreaking deep RL agents to avoid or defeat counter-UAS (C-UAS) challenges while com ...

Space Micro will develop an innovative payload that can be hosted onboard a nanosatellite/ CubeSat bus, for the advancement of USSOCOM capabilities in rapid intelligence collection, surveillance, and reconnaissance (ISR). This R&D will improve and enhance capabilities in intelligence collection, surveillance, and reconnaissance from new spaceborne platforms.