Award Data

We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...

The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...

The US Special Operations Forces (SOF) missions include a variety of short-duration, covert operations (e.g. enemy capture, personnel recovery, intelligence/information gathering) which require extensive operational planning and rehearsal. To assist in planning, accurate 3D physical models of sensitive indoor areas or enemy-occupied buildings is desired; however, obtaining data to build such model ...

Traditional munition guidance packages rely on the Global Positioning System (GPS) or laser designation technologies to target an operator defined location. However, if either of these systems cannot operate, whether they are being actively denied by the enemy or from harsh environmental conditions, the guidance package will fail to function as designed. Toyon Research Corporation proposes to crea ...

Tanner proposes to develop a dynamic heat pump system with self-contained, rechargeable battery and driving circuit that operates as a Combination Thermal Recycler (CTR). By utilizing thermal reservoirs coupled with the rebreather mask, heat can be efficiently recycled in proportion to the temperature difference between the exhaled air stream and a target inhaled air temperature. No power would be ...

The objective of this proposal is to develop a robust, lightweight and compact device for re-heating and maintaining the temperature of a divers inspired breathing gas when diving on a closed circuit underwater breathing apparatus for the duration of the dive. As a solution, Simuleer proposes to develop the Hybrid Energy Abiotic Thermoelectric (HEAT) system based on a high-power hybrid (i.e. passi ...

In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...