SURFACE TRAFFIC AUTOMATION USING NEURAL NETWORKS

Award Information

Agency: Department of Transportation	Branch: N/A	Award ID: 10995	Program Year/Program: 1989 / SBIR
Agency Tracking Number: 10995	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: Accurate Automation Corporation
7001 Shallowford Road Chattanooga, TN -
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Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No

Phase 1: Fiscal Year: 1989

Title: SURFACE TRAFFIC AUTOMATION USING NEURAL NETWORKS

Agency: DOT

Contract: N/A

Award Amount: $50,000.00

Abstract:
THIS PROJECT WILL IMPLEMENT A NEW APPROACH TO IDENTIFYING AIRCRAFT DURING GROUND OPERATIONS. WE WILL APPLY THE USE OFNEURAL NETWORK TECHNOLOGY FOR SCHEDULING AND TRACKING AIRCRAFT. THIS ROBUST AND MASSIVELY PARALLEL AUTOMATION TECHNIQUE HAS POTENTIAL APPLICATION FOR GROUND TRAFFIC MANAGEMENT. OUR CONCEPT SHOULD WORK WITH RUNWAY FOOTPRINT DETECTION SCHEMES. IT HAS THE POTENTIAL TO DO PATTERN RECOGNITION WHEN INTERFACED WITH ASDE-3 EQUIPMENT THAT WILL PROVIDE A BETTER IMAGE FOR CONTROLLER SITUATION VIEWING. THIS TECHNIQUE CAN BE IMPLEMENTED BASED UPON THE SUPERVISED LEARNING CONCEPTS AND POTENTIALLY IN SILICON AND COMPUTERS. OUR TECHNIQUE WILL ALSO USE HIERARCHICAL SCENE STRUCTURES THAT PERMIT BETTER IDENTIFICATION OF TARGETS VIEWED FROM DIFFERENT ANGLES. ADDITIONALLY, THIS TECHNIQUE WILL IMPROVE THE SPEED AND ACCURACY OF TARGET IDENTIFICATIONS FROM VIEWS TAKEN WHILE THE TARGET AND/OR RADAR IS IN MOTION.

Principal Investigator:

0

Business Contact:

Small Business Information at Submission:

Accurate Automation Corp
409 Chestnut Street Suite A-180 Chattanooga, TN 37402

EIN/Tax ID:

DUNS: N/A

Number of Employees: N/A

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No