Award Data

SciTec, Inc. has extensive experience developing robust, signature based autonomous exploitation capabilities for data collected from Electro-Optic/Infrared (EO/IR) systems. These signature based capabilities are typically robust because they exploit features with known causal relationships to threat characteristics and behavior, and because they are constructed using rigorous mathematical framewo ...

Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

Previous efforts have demonstrated that targeted observations of tropical storms by UAS can provide extremely valuable data sets for improving forecasts and models, but are also difficult to obtain. A number of obstacles including regulations and the distance required to intercept evolving storms have limited the number of land based flights. The use of airborne deployed UAS have recently overcome ...

This project will develop and demonstrate an inexpensive and portable calibration system for low-cost aerosol sensors. Current calibration methods are cost prohibitive and lack generalizability from one location (or season) to the next, making them impractical for implementation. Access Sensor Technologies (AST) proposes to improve and validate a solar powered aerosol reference calibrator (SPARC) ...

Hypervelocity projectiles (HVPs) offer the potential for highly effective and low-cost point defense against missile threats. Classical guidance schemes are ill-suited to the unpowered dynamics of the HVP, as they fail to account for its changing capabilities and limited energy budget over the course of the fly-out. Numerica’s solution consists of an automated real-time fly-out trajectory optimi ...

A simulation optimization tool can exploit existing BMDS simulation models to streamline the scenario generation analysis process. Our Phase II project will focus on using a simulation optimization approach to solve the problem of generating a minimal collection of test scenarios, using the minimum number of shared scenario components that meets a required set of test objectives. Each individual s ...

We propose maturation and extension of an innovative batch algorithm for track scene history reconstruction, and track refinement conditioned on this history, given input source track data from one or more sensors. The envisioned method is designed to process both kinematic data (e.g., track reports) and feature/discrimination data (e.g., useful to distinguish objects seen by multiple sensors to s ...

There are two main objectives of the follow-on Phase II for Small Business Innovation Research Topic N08-199.First is to deliver a portable Splash Impact Measurement System (SIMS) with capablility of mapping the debris field surrounding an engagement event in broad ocean areas.This mapping will provide the precise location and time of all objects impacting the sea surface.The second objective is t ...

The ISSAC Team propose a novel method to encapsulate legacy models and simulations that allows these components to take advantage of modern, multi-core, multi-processor hardware suites. Encapsulating these legacy codes provides 3 primary advantages to deal with complex systems and systems of systems (Air Force, Navy, Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA) ...

MDAs mission is to develop, test, and field an integrated, layered, Ballistic Missile Defense System (BMDS) to defend the United States, its deployed forces, allies, and friends against all ranges of enemy ballistic missiles in all phases of flight.To accomplish this mission, the BMDS incorporates a substantial array of sensors and weapon systems, plus a Command, Control, Battle Management, and Co ...