SBIR/STTR Research Award

DEVELOPMENT OF A NEURAL NETWORK KALMAN FILTER FOR DYNAMIC IMAGE UNDERSTANDING

Award identifier 7fdf2dadaeb0375eee2bf61e57e60331b6784c527397b7aa6ed999ac48f10a1fAwarding agency Department of Defense · Air Force

Award amount

$59,820

Program and phase

SBIR · Phase I

Award year

1988

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
MARTINGALE RESEARCH CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
T9NGMH8MYAR3
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE PROPOSED RESEARCH BUILDS UPON THE CONTRACTOR'S PROPRIETARY NEURAL NETWORK SPACE-TIME MEMORY, THE PARAMETRIC AVALANCHE, TO DETERMINE A SET OF DESIGN CHARACTERISTICS FOR NEUROCOMPUTING ARCHITECTURES THAT WILL EFFECTIVELY SUPPORT REAL TIME UNDERSTANDING OF DYNAMIC IMAGERY. THE APPROACH TO THIS PROBLEM IS TO USE THE PARAMETRIC AVALANCHE TO IMPLEMENT A KALMAN FILTER WHICH IS CAPABLE OF TRACKING AND PREDICTING THE EVOLUTION OF LARGE NUMBERS OF OBSERVABLE OBJECTS WITH WIDELY DIFFERING DYNAMICS, AND IS ALSO CAPABLE OF LEARNING TO PREDICT NOVEL SPACE-TIME PATTERNS.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

32 SBIR/STTR records share this UEI (1987–2019). Reported award amounts total $10,833,491. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense, National Science Foundation, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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