Army Futures Command (AFC) releases topics during three specific solicitation periods throughout the fiscal year to address the Army’s current and anticipated war-fighting technology needs.
Multi-Modal data includes text, images, sounds, etc. Having a corpus of synthetic multi-modal data allows the Army to fuse this data together and rapidly generate higher preforming AI/ML algorithms.
Multi-Modal Synthetic Data Corpus to Support Machine Intelligence Development Read More »
Active imaging systems all require the detection of reflected light, usually through an active source such as a laser. Additionally, commonly fielded single-point range finding technologies lack the capability to ensure that the range for the object of interest is being interrogated rather than an adjacent object in the scene.
Advanced III-V Avalanche Photodiode Structures in the Infrared Read More »
This effort explores novel applications of new, state of the art Commercial Off the Shelf (COTS) ADCs tightly integrated with advanced FPGAs providing revolutionary increases in wideband direct digital Radio Frequency (RF) sampling. Rapidly changing threat environment with a multitude of signals, both threat and non-threat, in close proximity and covering an ever-increasing swath of spectrum, is an ever-present challenge. This presents the difficult task of assessing and identifying a wide variety of signal types accurately and quickly across an extremely wide range of frequencies.
Wideband RF Sensing Algorithms for Detection of Priority Ground RF-Enabled Threats Read More »
As per NIST 800-207, one of the basic tenets of Zero Trust is “Access to resources is determined by dynamic policy—including the observable state of client identity, application/service, and the requesting asset—and may include other behavioral and environmental attributes”.
Zero Trust Identity Read More »
A counter unmanned aerial system (C-UAS) that utilizes multiple sensors would have the ability to detect and track unmanned aerial vehicles (UAVs) using a variety of methods while minimizing nuisance detections to near zero.
Open Multi-Sensor Counter Unmanned Aerial Systems (C-UAS) Software System Read More »
Degraded Visual Environments (DVE) present significant challenges to tactical operations due to lack of situational awareness, which can lead to mission failure and loss of life. Such environments include low light, fog, dust, rain, snow, and other visual obscurants.
Operations in Degraded Visual Environments Using Millimeter Wave Imagery Read More »
Today, large Army installations rely on sparse, labor-intensive patrols for security, training operations, compliance, and other routine operational tasks. As a result, these areas suffer from high operational costs, slow response times, and frequent disruptions to training activities, directly impacting military readiness.
This topic focuses the development of analytical tools for processing tactical sensor data to automate engineer reconnaissance functions. Army engineers possess capabilities to acquire reconnaissance data from a suite of sensors housed in the Instrument Set, Reconnaissance and Surveying Toolkit (ENFIRE).
Real-Time Analytics for Engineer Reconnaissance Read More »
Small unmanned air vehicles (UAVs) have demonstrated the ability to autonomously plan trajectories that allow them to maneuver through tight spaces, precisely land on moving platforms, and even perch onto various targets in the environment (poles, rods, cables, walls, tree branches, etc.).
