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Automatic Target Recognition (ATR) in Complex Underwater Environments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0646
Agency Tracking Number: N231-035-1029
Amount: $139,369.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N231-035
Solicitation Number: 23.1
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-07
Award End Date (Contract End Date): 2024-02-05
Small Business Information
305 S Main St
Madison, VA 22727-3042
United States
DUNS: 962150483
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason E. Summers
 (540) 423-0323
Business Contact
 Jason E. Summers
Phone: (540) 423-0323
Research Institution

To address the challenges automatic target recognition (ATR) algorithms face when operating in complex environments and meet the Navy need to perform mine countermeasures (MCM) operations against known and novel targets in complex and often novel littoral environments ARiA will develop and demonstrate the feasibility of Domain-Adaptive Multiple-Sensor Online Learning (DAMSOL). The Phase I effort will (1) develop a concept to facilitate target identification in complex underwater environments using acoustic, optical, and magnetic sensors, (2) demonstrate that the concept meets performance requirements, (3) establish feasibility through testing and analytical modeling and (4) develop a Phase II plan for DAMSOL including an initial design specification and capabilities description to guide development of the prototype solution.

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

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