Award Data

This Phase 2 Enhancement seeks to improve the quality of synthetic data to be representative of real data (using whatever criteria the algorithm deems important for detect, classify, and track of an object of interest at rest and/or in motion) and to maximize algorithm performance such that when the algorithm is introduced to real data with a real object of interest in its real environment, the al ...

Physical Sciences Inc. (PSI) will develop a Recycling Fast-Response Atom Interferometer for Navigation (ReFRAIN) as an atom interferometer (AI) accelerometer specially designed to improve inertial navigation systems (INS) on moving platforms.  The ReFRAIN provides sensitivity, dynamic range, bandwidth, and bias stability that matches or exceeds state of the art mechanical accelerometers.  PSI in ...

OSD solicits vendors for a ‘High Acceleration and Hypervelocity Inertial Measurement Unit System’ for use in 155mm projectiles. Development of a gun-hardened and highly miniaturized IMU would revolutionize the way in which 155mm gun systems are employed. A 155mm projectile with guidance, navigation and control would enable the development of new systems such as precision gun launched missile d ...

Execution of long-range weapons capabilities reduces risk and affords greater warfighter protection. Core enabling technologies for hypersonic projectiles include high-strength lightweight materials, precision avionics, and novel designs. System demands include the ability to withstand both high accelerations (up to 50,000 Gs) and aerothermal shock. Detailed structural engineering and shock modeli ...

SI2 proposes to leverage prior Government funded efforts to develop a transmit (TX) only, wideband (6:1 bandwidth), low-cost, scalable active electronically scanned array (AESA) that will utilize phase-only nulling to enable radar, Electronic Warfare / Electronic Attack (EW/EA), Information Operations (IO) and other capabilities on multiple platforms across DOD agencies. The array will employ digi ...

One key concern of the Strategic Capabilities Office (SCO) is the security component of the “Asia-Pacific Rebalance” where the Chinese anti-access/area denial (A2/AD) policy threatens regional security. In response to A2/AD our forces in the Pacific require more affordable and rapidly deployable alternatives to costly missile defense such as large caliber projectiles for Navy electroma ...

Few-shot Object detection via Reinforcement Control of Image Simulation (FORCIS) will combine deep reinforcement learning with additional training data augmentations and strategies to develop robust few shot detectors leveraging available simulations.

Airborne radars operating over open water must classify maritime vessels by measuring and exploiting highly-variable radar signatures. Sources of signature variability include within-class ship construction and equipment differences, complex in-situ 6-DoF ship motion caused by ocean waves across a range of sea state conditions, acquisition geometry including grazing angle and maritime-specific RF ...

Deep Neural Networks (DNNs) are becoming widely used in the DoD for image classification, but recent research has shown DNNs are vulnerable to adversary attacks. Adversaries can monitor the DNN training and classification processes to learn attributes of the training data and the DNN. With this information, an adversary can gain valuable insight into the potentially sensitive data used to train th ...

Program protection and security personnel in the DoD are faced with the complex task of identifying and protecting sensitive information about systems, including the nature of mission-critical functions and components, and Critical Program Information (CPI). Successful and efficient identification and protection of CPI is essential to maintaining US Warfighters’ technological advantage. Cur ...