Award Data

Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. An ever present and fundamental requirement for this type of data is automated target detection and recognition, helping to quickly locate and correctly identify targets from vast quantities of image data. Despi ...

Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. A fundamental requirement for this type of data is automated target detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. De ...

WISER Systems, Inc. is a small, woman-owned, disadvantaged business providing best-in-class real-time location systems (RTLS) for nearly any environment. WISER’s RTLS powers applications in aerospace, manufacturing, warehousing, yard management, and many other industries. Unlike GPS-based solutions, WISER’s Redundant Radio Localization and Tracking (RRLT) technology enables autonomous position ...

Impaired driving due to alcohol and drugs is a significant public health and safety problem in the U.S. The detection and enforcement of impaired driving laws are key to reducing this problem. Virtual reality training has the potential to support law enforcement officers in obtaining the necessary knowledge and skills to effectively detect impaired drivers. DetectID will be an immersive, accessibl ...

Vadum will implement and test a software capability for rapid matching of time series data to a database of previously observed time series. The Clustered, Shingled Hashing of Random Projections (CSHARP) capability will generate efficient fingerprint representations of time series data. This capability will enable rapidly query for matches to newly observed, high-volume and velocity signal streams ...

Vadum will develop and implement a novel, unsupervised deep-learning approach to estimate the number of objects in a SAR image automatically, accurately and with low-latency. The approach learns a unique representation of a SAR image that is resilient to a wide range of SAR artifacts, such as geometric and temporal image misalignments, resolutions, noise and collection geometries. The technique ar ...

The National Geospatial-Intelligence Agency (NGA) seeks innovative modeling and simulation concepts for estimating hypersonic flowfields and phenomenologies. In response to this need, Corvid Technologies (Corvid) proposes the investigation, development, and demonstration of a practical numerical framework for computational grid adaptation to improve modeling of hypersonic flowfields and thus great ...

Satellite and airborne platforms provide timely, detailed, and readily available still and full-motion imagery to support U.S. national security. A constant requirement for this type of data is automated object detection and recognition, helping analysts to quickly locate and correctly identify targets of interest from vast quantities of image data. This requirement is made more challenging when a ...

At present, there are no solutions for equipping Class 1 and 2 unmanned aerial system (UAS) platforms with weapons systems that provide the capability for opportunistic engagement of high value targets (HVT). Munitions deployed on larger UAS, and other fixed-wing SOCOM assets, greatly exceed the payload capacity of Class 1 and 2 UAS assets currently in use for intelligence, surveillance, and recon ...

Expanding constellations of earth observation satellites are drastically increasing the availability of satellite imagery to the US government, providing timely, detailed, and readily available intelligence for mission planning and situational awareness on a global scale. Under the DARPA funded SBIR Phase 2 GEOMETRIX program, VSI developed an innovative ecosystem to distill and reconcile commercia ...