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Home » Awards » AN A.I. APPROACH FOR TARGET RECOGNITION IN REAL BATTLE ENVIRONMENTS

AN A.I. APPROACH FOR TARGET RECOGNITION IN REAL BATTLE ENVIRONMENTS

Award Information

Agency: Department of Defense	Branch: Navy	Award ID: 134	Program Year/Program: 1985 / SBIR
Agency Tracking Number: 134	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: LNK CORP., INC.
6811 Kenilworth Avenue, Suite 306 Riverdale, MD 20737
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Woman-Owned: No

Minority-Owned: Yes

HUBZone-Owned: No

Phase 2: Fiscal Year: 1985

Title: AN A.I. APPROACH FOR TARGET RECOGNITION IN REAL BATTLE ENVIRONMENTS

Agency / Branch: DOD / NAVY

Contract: N/A

Award Amount: $555,394.00

Abstract:
RESEARCH IS NEEDED TO DEVELOP ALGORITHMS THAT ARE CAPABLE OF TARGET RECOGNITION IN REAL BATTLEFIELD ENVIRONMENTS. L.N.K. CORPORATION PROPOSES TO INVESTIGATE AN ARTIFICAL INTELLIGENCE TECHNIQUE WHOSE INFERENCE MECHANISM IS NON-DIRECTIONAL (BOTH GOAL-DIRECTED AND DATA-CONFIRMED) FOR RECOGNITION OF TARGETS IN IMAGES. THE ALGORITHM MEETS FOUR CRITERIA: 1) AMBIGUOUS INTERPRETATIONS ARE ALLOWED AND ARE DEVELOPED IN A BEST-FIRST MANNER. THUS, MULTIPLE CONTACTS OF TARGETS ARE RECOGNIZED IN A BEST-FIRST SEQUENCE. 2) GOAL-DRIVEN OR TOP-DOWN OPERATIONS ARE AVAILABLE TO MAKE HYPOTHESES FROM MODELS. 3) BOTTOMUP OPERATORS ARE AVAILBE TO INITIATE RECOGNITION, IF EVIDENCE IS PRESENT IN THE DATA. 4) THE ANALYSIS OF THE IMAGE CAN PRECEDE IN A NON-SEQUENTIAL FASHION THROUGH THE IMAGE, TO OPTIMIZE RELIABILITY OF RECOGNITION OF PARTIALLY OCCULUDED OBJECTS IS POSSIBLE BECAUSE AN OBJECT IS MODELED BY A HIERARCHY OF SUBSTRUCTURES. A PARALLEL IMPLEMENTATION OF THE

Principal Investigator:

0

Business Contact:
Barbara A. Lambird
3019273223

Small Business Information at Submission:

Lnk Corp
302 Notley Court Silver Spring, MD 20904

EIN/Tax ID:

DUNS: N/A

Number of Employees:

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No