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SEMA: Segmentation and Estimation of Missile Attitude

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-21-P-0002
Agency Tracking Number: F19B-005-0146
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19B-T005
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-01
Award End Date (Contract End Date): 2022-02-01
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Naresh Cuntoor
 Senior Research Scientist
 (301) 294-4768
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution
 North Carolina State University
 Prof. Tianfu Wu Prof. Tianfu Wu
530-24 Venture II Building, Campus Box 7911
North Carolina State University, NC 27695
United States

 (919) 515-2336
 Nonprofit College or University

Ground-based cameras acquire image and video data of targets in various stages of flight. Cluttered backgrounds, poor contrast, low resolution and other imaging challenges make it difficult to discern the target and estimate its attitude (pose). In this effort we propose a deep learning based approach to detect and segment targets of interest. The results of segmentation will be visualized as a pixel-wise mask. EO/IR imagery and simulated data will be used to demonstrate feasibility of the approach.

* Information listed above is at the time of submission. *

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