unmanned systems, drones, ground vehicle capabilities
Quantum magnetometers, especially those utilizing Diamond Nitrogen-Vacancy (NV) technology, offer a significant advancement in sensitivity and precision beyond conventional explosive detection methods [1]. Utilizing quantum mechanical principles, such as electron and atomic nucleus spin states, these devices can detect minor fluctuations in magnetic fields.
This topic seeks to leverage advances in algorithms, processing techniques, and embedded hardware to improve image quality for human consumption of thermal longwave (LWIR) and LWIR fused with near-infrared imagery (NIR). The primary objectives of this work are to reduce cognitive burden during long duration missions and improve user acceptance of systems which employ LWIR and NIR sensors.
Lightweight AI-enabled image processing for Soldier-borne thermal imagers Read More »
Develop innovative techniques and tools to run the Robotic Technology Kernel (RTK) software library securely and efficiently on a high-assurance separation kernel. Demonstrate feasibility via proof-of-concept and practical prototype.
Porting to RTK High-Assurance Kernel 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.).
The use of digital image processing to enable target detection, classification, recognition and identification, as well as targe state estimation for fire control solutions is computationally intensive. It requires significant processing power, which in turn requires significant electrical power.
Optical Computing Network Read More »
Unmanned Aerial Systems (UAS) used by the Army may be subject to harsh conditions in hostile environments. They need to be able to sense heavy disturbances in their environment that affect their operations, instantaneously adjust to overcome their impact. Furthermore, they should form and track a mission supporting trajectory in real time with speed and agility.
Precision Control of High-speed Autonomous Vehicles under High Disturbances Read More »
The future Warfighter will require autonomous robotic systems to traverse highly uneven, obstructed, and uncertain terrain at speed. Legged platforms are clear frontrunners to meet this requirement, but the control of such systems presents a substantial engineering challenge.
Accurate helicopter source noise models are required by the US Army to estimate the acoustic impact of proposed helicopter operations. Conventional helicopter source noise models used by current mission planning tools are empirical in nature, relying on measurements of helicopter noise captured by ground-based microphone arrays during steady flyovers [1-2].
The purpose of this topic is to improve the performance of perception used for the autonomous mobility of ground systems.
Perception Sensing Advancements for Autonomous Ground Systems Read More »
To develop a self-contained system for autonomous vehicles that can be used to determine when people are around the vehicle and leverage this information to inform the actions of the autonomous system.
Self-Contained Personnel Safety Systems for People in and around Autonomous Vehicles Read More »
