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

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,946.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
N00014-07-M-0436
Agency Tracking Number:
N074-024-0431
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
FASTVDO LLC
7150 Riverwood Dr., Columbia, MD, 21046
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
118849145
Principal Investigator:
Pankaj Topiwala
President/CEO
(410) 309-6066
pankaj@fastvdo.com
Business Contact:
Pankaj Topiwala
President/CEO
(410) 309-6066
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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