Sensor Fusion in a Dynamic Model-Based System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 20031
Amount: $375,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1994
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
7001 Shallowford Road, Chattanooga, TN, 37421
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael Lothers
 (615) 894-4646
Business Contact
Phone: () -
Research Institution
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.

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

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