SET Assoc. Corp.

1005 N. Glebe Rd.Suite 400
Arlington, VA 22201
74 Employees

SBIR Award Summary

Total Number of Awards 68
Total Value of Awards $24.6MM
First Award Date 05/19/03
Most Recent Award Date 01/21/10

68 Awards Won

Phase 1 STTR

Institution: Carnegie Mellon University

Agency: Army
Topic: A09A-T030
Budget: 01/21/10 - 07/21/10

SET Corporation, together with Carnegie Mellon University''s National Robotics Engineering Center (NREC), will develop a system that leverages state-of-the-art sensing, perception, and machine learning to provide trafficability assessments for UGVs for agricultural, security and military applications. It will consist of a set of proprioceptive a...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD09-HS3
Budget: 01/14/10 - 09/30/10

SET Corporation proposes to develop software for HSCB modeling, analysis and forecasting that can provide insight into potential outcomes of policy decisions, operational actions, and rules of engagement. The Forecasting Cultural Analysis and Simulation Tool (4CAST) will enable modeling of individual and group attitudes and behaviors. Analyst bi...

Phase 2 SBIR

Agency: Air Force
Topic: AF083-150
Budget: 01/14/10 - 04/16/12

SET Corporation proposes to design, implement, and demonstrate a scalable system for real-time, wide area SAR image formation and Coherent Change Detection. This will require adaptation of the existing range compression and spotlighting algorithms for efficient FPGA implementation. It will involve implementation of those algorithms using Nalla...

Phase 2 SBIR

Agency: Air Force
Topic: AF083-143
Budget: 01/13/10 - 04/19/12

The SET Team proposes to develop and demonstrate an advanced GMTI Forensics workstation designed to aid the Intelligence Analyst (IA) in detecting IED emplacements and in tracking those involved. The system processes wide-area persistent air-to-ground RF sensor data into images and pass-to-pass change detection products. It screens the data for ...

Phase 1 SBIR

Agency: Air Force
Topic: AF093-145
Budget: 01/12/10 - 02/28/11

The SET Team proposes to develop advanced 3-D SAR image formation techniques using Ultra High Frequency Radar that effectively exploit a circular collect imaging scenario. The SAR system orbits a fixed region of interest and collects spot-mode radar data with a sweep in elevation. The SET design will use (1) compressive sensing imaging approac...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD09-SP3
Budget: 01/07/10 - 08/01/10

Recognition of objects and their relationships is a critical part of automatic scene understanding. Scene understanding based on object appearance alone is not sufficient as the functions of a facility change over time, especially in areas of ongoing conflicts. However, almost all surveillance imagery contains vehicular and human activities. By ...

Phase 1 SBIR

Agency: Air Force
Topic: AF093-143
Budget: 01/05/10 - 10/06/10

In this proposal we address the problem of developing a GIQE for ATR in SAR. We do employ image features such as IPR mainlobe width, IPR sidelobe peak, Integrated sidelobe ratio (ISLR) in the context of MNR (multiplicative noise ratio), system noise, grazing angle, etc., to capture the system variability, collection geometry, scene selection, an...

Phase 1 SBIR

Agency: Navy
Topic: N092-155
Budget: 10/26/09 - 08/25/10

We propose to design, develop and evaluate a system for retrieval of face images using natural language-like descriptions. Our approach is largely guided by how humans perceive similarity between faces and incorporates a combination of soft biometric descriptions, local and global feature descriptors and manifold-based similarity measures and ma...

Phase 2 STTR

Institution: The Ohio State University

Agency: Navy
Topic: N08-T024
Budget: 09/29/09 - 03/18/11

The overall objective of the research is to develop algorithms and visualization methodologies that interpret raw high resolution radar returns of people detected behind walls into virtual renderings of these objects based on parametric information contained in raw image data. A long term goal is the virtual rendering of human postures and orien...

Phase 1 STTR

Institution: Johns Hopkins University

Agency: Air Force
Topic: AF08-BT24
Budget: 07/02/09 - 04/02/10

Hyperspectral change detection provides significant potential to detect targets in foliage and urban clutter with enhanced performance relative to existing technologies. Change detection algorithms must discard non-relevant change while extracting relevant change. To date, linear prediction methods have been applied; however, the space-invarianc...

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