Award Data

The proposed approach provides innovative sensor data association algorithms capable of performing correct data association in multi-target tracking environments with one or more sensors. Improved detection/track association is an enabling technology for enhancing tracking and object identification. Data association is a critical precursor to the track filtering process. The data association proce ...

Gray Analytics and the Oak Ridge National Laboratory (ORNL) propose to design a prototype environment for a fully automated Secure Virtual Environment (SVE). The objective of the Gray Analytics methodology is to create an architecture dedicated to persistent cyber testing that utilizes modern technologies/methods and divorces the dependencies between Hardware and Software. The most significant ide ...

The Integrated Air and Missile Defense (IAMD) threat environment has become more complex and challenging due to advances in adversary technology. Trusted and accurate data association can be achieved by reducing the inherent prediction uncertainty and the resulting data association uncertainty can be reduced by recognizing that IAMD threats follow trajectories that are planned to accomplish intend ...

Proposal seeks to study and enhance thermo-mechanically coupled computational models for high-temperature impact and fracture of high-speed aerostructures. K&C is an established science and engineering company, founded in 1945, that specializes in developing engineered solutions for extreme environments through advanced computational models, experimental methodologies, and specialized software and ...

During the proposed Phase I research and development effort, the project team will use analysis and hot-fire testing to establish the feasibility of an approach to solid propellant formulation that greatly reduces the exhaust Infrared (IR) signature of the rocket motor while maintaining the thrust-to-mass-ratio of the existing, baseline solid propellant. The project team will formulate an array of ...

Biological vision systems capture and process extremely complex environments with high accuracy. Whereas conventional imaging systems require large amounts of memory and power to run, bio-inspired systems can maintain performance while reducing the size, weight, and power requirements. In this project, Areté proposes the development of a fully bio-inspired vision system for missile detection and ...

We propose two innovative improvements to sensor systems for early detection and tracking. First, develop inexpensive, persistent, infrared optical arrays, using modern optical array sensors and their signal processing systems. The proposed prototype IOA is based on the two operating PANDORA (Persistent And Optically Redundant Array) Tau visible arrays. Second, The Tau tracking optical arrays util ...

Kitware, in collaboration with the University of Dayton, proposes to investigate the use of bio-inspired imaging sensors for autonomous missile detection. Among the various neuromorphic sensor designs, we propose to incorporate Dynamic Vision Sensor (DVS) based event cameras, which perform power-efficient visual monitoring by emulating the human visual system. Instead of densely sampling each pixe ...

We are proposing to develop Neuro-IR Tracker, a system design for a bio-inspired sensor optimized to detect hypersonic missile targets. In Phase 1, we will design and assess the feasibility of a novel bio-inspired sensing system which includes Micro-Electro-Mechanical Systems (MEMS) microbolometer imager (MMI), brain-inspired image processor and realtime software detection tools. We will estimate ...

Attollo is proposing a read-out integrated circuit (ROIC), detector, and camera that will leverage a bio-inspired approach to seeing and processing a threat detection image. Processing only change detection within the Field of View (FOV) will save in transmission and processing of the sensor data reducing latency while also improving threat detection. Attollo will hybridize our Strained Layer Supe ...