Award Data

STR is proposing to implement monitoring of power grid state via high-speed, wide-field optical photometry. We will design, test, and implement algorithms on commercially available hardware with the intent of deriving grid topology in addition to detecting, characterizing, and geolocating anomalous events. We will also evaluate fusing the photometry-derived data with other data sources available t ...

Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

Technological advances in navigation and positioning, along with expanding wireless infrastructure and remote sensing technologies, have resulted in an explosive growth of available trajectory data from a variety of moving objects, such as people, cars, ships, or animals. Traditional trajectory mining algorithms do not explain how and why the motion was generated, limiting their utility in GEOINT ...

At the National Geospatial-Intelligence Agency (NGA), the ability to serve and analyze data is crucial to the success of efforts ranging from disaster relief to strategic military support. NGA recently created the Office of Automation, Augmentation, and Artificial Intelligence (AAA) which has a goal “to automate routine tasks to give crucial time back to employees.” These automated systems mus ...

An important application for geospatial 3D models is fast transmission and rendering for disadvantaged users who have only a web browser and a limited bandwidth connection. Point cloud models commonly used within the NGA are too large for efficient transmission and rendering. Kitware’s new research on the IARPA CORE3D program has demonstrated procedural building models from point clouds for more ...

A successful weapon of mass destruction (WMD) terrorist attack against the United States would have a profound and potentially catastrophic impact on our nation. It is imperative to be able to quickly, efficiently, and effectively localize radiological threats in a wide array of unstructured environments to detect and deter such an event. In recent years, man-portable radiation detectors have beco ...

Physical Sciences Inc. (PSI) proposes to develop the Networked Aerial Vehicle for Automated Radiation Clearing (NAVARC) to perform an autonomous search for radiological threats in a complex 3-D environment. The PSI-developed InstantEye unmanned aerial vehicle (UAV) will navigate using a series of optimized waypoints to minimize the time required to fully search an area and inspect objects. Detecti ...

The integration of new cyber technologies in emergency response systems can allow profound improvements in system performance, but also expose the systems to systemic security and privacy risks.Thus, there is a critical need for design-time risk-assessment tools for emergency response systems, which allow evaluation and mitigation of threat impacts across their heterogeneous cyber and physical com ...

The increasing number of breaches and hacks against organizations demands new and more effective ways to provide defense. Currently, most defense activities, such as monitoring, analysis, forensics, and remediation are done within house. This is unfortunate because the external knowledge and experience of others outside the organization cannot easily be leveraged. Our proposal focuses on the desig ...

To address the DHS need for a module that can power/charge and provide effective power management of all on-body electronics including sensors, communications systems, and peripheral devices for all first responder mission areas, Intellisense Systems, Inc. (ISI) proposes to develop a new Power and Rechargeable Battery Interface Smart Module (PRISM). This proposed technology is based on a novel mod ...