Distributed Co-operative Automatic Target Recognition (ATR) Using Multiple Low Resolution Sensors

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0436
Agency Tracking Number: N074-024-0431
Amount: $69,946.00
Phase: Phase I
Program: STTR
Awards Year: 2007
Solicitation Year: 2007
Solicitation Topic Code: N07-T024
Solicitation Number: N/A
Small Business Information
7150 Riverwood Dr., Columbia, MD, 21046
DUNS: 118849145
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Pankaj Topiwala
 President/CEO
 (410) 309-6066
 pankaj@fastvdo.com
Business Contact
 Pankaj Topiwala
Title: President/CEO
Phone: (410) 309-6066
Email: pankaj@fastvdo.com
Research Institution
 UNIV. OF ARKANSAS
 Jia Di
 College of Engineering,
4183 Bell Engineering Center
Fayetteville, AK, 72701
 (479) 575-5728
 Nonprofit college or university
Abstract
ATR has traditionally been the domain of expensive, one-of-a-kind, high-resolution sensors (whether EO/IR, SAR, HSI, HRR, or other) - along with distinctly high-performance, one-of-a-kind processing capability (racks of workstations/boards). Examples include JointStars, WarHorse, and SHARP. With planned deployment of swarms of smaller (or miniature) sensor platforms, each with low-resolution sensors and very limited processing capability, the tasks of obtaining valuable ATR-grade sensor information - and performing that ATR - emerge as daunting challenges. Any one system may be inadequate, indicating cross-platform coordination is needed. Distributed processing is required, but at the cost of increased latency and significant bandwidth requirements.

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

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