To collect, transmit and archive data from armament systems (artillery, mortars, crew served, remote, squad) for use in AI/ML applications.
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Armament System AI Data Logger & Architecture
Phase I
Is the opportunity to establish the scientific, technical, commercial merit and feasibility of your proposed innovation.
Machine Learning (ML) for Breach Routing
This program aims to improve the Explosive Breacher (EB) by closing capability gaps in current breaching techniques left by quickly evolving adversarial technology and aging legacy equipment.
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Graph Neural Networks (GNN) for UxS Collaborative Agent Control
The purpose of this topic is to use recent advancements in Artificial Intelligence, specifically, GNN to be able to collaborate between different AI agents, Unmanned Aerial/Ground Systems (UxS).
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Asynchronous Neuromorphic Digital Readout Circuit for Infrared Cameras for Autonomous Target Acquisition and Autonomous Vehicles
Most military scenarios consist of highly cluttered and dynamic scenes. Asynchronous on chip smart event cameras can eliminate cluttered scenarios with a much-reduced latency, power, and would be able to hand off images of interest to imbedded autonomous target algorithms.
Artificial Intelligence/Machine Learning (AI/ML) for Radio Frequency (RF) Modulation Recognition
The purpose of this topic is to demonstrate the ability to interface to a modern Software Defined Radio (SDR) and the Photon digital signal processing framework in order to characterize large swaths of the RF spectrum in near-real-time (NRT) using AI/ML techniques for signal modulation recognition and sorting (Blue Force emitters; Red Force emitters; Civilian emitters);
Artificial Intelligence-in Automated Scrap Inspection “MVM”
The Army demilitarizes non-usable ammunition in the rotary kiln incinerator (RKI) and tries to recycle the scrap through commercial dealers.
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Dismounted Device-to-Device (D2D) Communication Platform
Develop a Device-to-Device (D2D) squad-level communication platform that uses direct communications without network assistance of a radio access network (RAN). The D2D platform shall implement a cognitive agent controlling jamming mitigation strategies in contested
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Risk Assessment Modeling Tool (RAMoT)
Develop a high-fidelity real-time risk assessment tool for hypersonic testing to analyze test mission missile flight debris paths in different configurations (direction, velocity, altitudes) so as to predict the impact zone and ensure the safety of infrastructure and people surrounding the White Sands Missile Range.
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Dynamic Hartmann Turbulence Sensor Processing
Army SMDC aims to reconstruct the vertical profile of turbulence (Cn2) as a function of height above ground using a Hartmann Turbulence Sensor (HTS) mounted on a tracking gimbal and platform that lifts 1000 meters off the ground.
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CTA Track/Discrim Improvements for Advanced Threats
Develop and demonstrate Machine Learning based radar algorithms/techniques to improve Point of Origin (POO) Target Location Accuracy (TLA) in Counter-fire Target Acquisition (CTA) applications for semi-ballistic trajectories.
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