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Sensor Fusion in a Dynamic Model-Based System

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
20031
Program Year/Program:
1994 / SBIR
Agency Tracking Number:
20031
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 2
Fiscal Year: 1994
Title: Sensor Fusion in a Dynamic Model-Based System
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $375,000.00
 

Abstract:

An approach to object identification and sensor fusion of images is proposed. Preprocessing techniques which perform a useful and computationally efficient transformation on the image will be considered. Once the image has been transformed to a more efficient format, mathematical morphology and neural networks are proposed to address the issues of edge detection, identification, sensor fusion and model generation from various types of sensor data. After models are generated from each sensor, a weighted average (based upon the accuracy and performance of each sensor) can determine a new or refined object model. The cooperative-competitive neural network will be used to identify the model as a particular class of object.

Principal Investigator:

Michael Lothers
6158944646

Business Contact:

Small Business Information at Submission:

Accurate Automation Corp
7001 Shallowford Road Chattanooga, TN 37421

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No