The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 18, 2013
Filed:
Nov. 30, 2010
Nora T. Tgavalekos, Tewksbury, MA (US);
Brian J. Scannell, Cambridge, MA (US);
Elizabeth M. Begin, Billerica, MA (US);
George C. Adams, Holliston, MA (US);
Samuel H. Rosenthal, Lowell, MA (US);
Seanna J. Gittler, Denver, CO (US);
Eric Scheid, Wilmington, MA (US);
Arthur B. Johnson, Andover, MA (US);
Kenric P. Nelson, Hollis, NH (US);
Nora T. Tgavalekos, Tewksbury, MA (US);
Brian J. Scannell, Cambridge, MA (US);
Elizabeth M. Begin, Billerica, MA (US);
George C. Adams, Holliston, MA (US);
Samuel H. Rosenthal, Lowell, MA (US);
Seanna J. Gittler, Denver, CO (US);
Eric Scheid, Wilmington, MA (US);
Arthur B. Johnson, Andover, MA (US);
Kenric P. Nelson, Hollis, NH (US);
Raytheon Company, Waltham, MA (US);
Abstract
The technology described herein includes a system and/or a method for determining confidence of object identification. The technology includes selecting at least one confidence rule from a plurality of confidence rules based on a first discrimination identification and a second discrimination identification. The technology further includes generating an object confidence weight based on one or more first identification parameters, one or more second identification parameters, and the selected at least one confidence rule. The technology further includes fusing the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight. The technology further includes generating a probability of identification of a classification of the object based on the fused data.