Multiple sensor fusion engine

Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07974814

ABSTRACT:
A method and system for of fusing the outputs of multiple sensors. The output of each sensor including a sensor class probability vector based on each sensor's classification database is input to a fusion engine which estimates a base class probability vector based on the sensor class probabilities output by the sensors and a preconfigured base database including base classes.

REFERENCES:
patent: 5963653 (1999-10-01), McNary et al.
patent: 5999893 (1999-12-01), Lynch, Jr. et al.
patent: 7065465 (2006-06-01), Chen et al.
patent: 7151466 (2006-12-01), Gabelmann et al.
patent: 2007/0076917 (2007-04-01), Chen et al.
patent: 2008/0071800 (2008-03-01), Neogi et al.
Written Opinion of the International Searching Authority for PCT Application No. PCT/US2008/006070 mailed Jan. 23, 2009 (four (4) pages).
Akaike, Hirotugu, “Use of Statistical Models for Time Series Analysis” IEEE Preceedings of ICASP, 1986; pp. 3147-3155.
Akaike, Hirotugu, “A New Look at the Statistical Model Identification” IEEE Transactions on Automatic Control, Dec. 1974; pp. 716-723.
Burnham, Kenneth and David Anderson, “Multimodel Inference: Understanding AIC and BIC in Model Selection,” Colorado Cooperative Fish and Wildlife Research Unit (USGS-BRD), May 1994; (56 pages total).
Jaynes, Edwin, “The Well-Posed Problem” Foundations of Physics, 3, 1973; pp. 477-493 (11 pages total), Jun. 1, 1973.
Mika, Ratsch, Weston, Scholkopf, and Miller, “Fisher Discriminant Analysis with Kernals,” IEEE, 1999; pp. 41-48.
Shore, John and Johnson, Rodney W., “Properties of Cross-Entropy Minimization” IEEE Transactions on Information Theory, vol. IT-27, No. 4, Jul. 1981; pp. 472-482.
Principe, Xu, Zhao and Fisher, “Learning from Examples with Information Theoretic Criteria,” Computational NeuroEngineering Laboratory, University of Florida, Gainsville, FL; (20 pages), Aug. 20, 2000.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Multiple sensor fusion engine does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Multiple sensor fusion engine, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiple sensor fusion engine will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2720362

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.