Television – Special applications – Navigation
Reexamination Certificate
2008-06-26
2011-12-20
Maung, Zarni (Department: 2451)
Television
Special applications
Navigation
Reexamination Certificate
active
08081209
ABSTRACT:
A system and method for object classification based upon the fusion of a radar system and a natural imaging device using sparse code representation. The radar system provides a means of detecting the presence of an object within a predetermined path of a vehicle. Detected objects are then fused with the image gathered by the camera and then isolated in an attention window. The attention window is then transformed into a sparse code representation of the object. The sparse code representation is then compared with known sparse code representation of various objects. Each known sparse code representation is given a predetermined variance and subsequent sparse code represented objects falling within said variance will be classified as such. The system and method also includes an associative learning algorithm wherein classified sparse code representations are stored and used to help classifying subsequent sparse code representation.
REFERENCES:
patent: 5963653 (1999-10-01), McNary et al.
patent: 6834232 (2004-12-01), Malhotra
patent: 6856873 (2005-02-01), Breed et al.
patent: 6862537 (2005-03-01), Skrbina et al.
patent: 6885968 (2005-04-01), Breed et al.
patent: 6889171 (2005-05-01), Skrbina et al.
patent: 7049945 (2006-05-01), Breed et al.
patent: 7069130 (2006-06-01), Yopp
patent: 7085637 (2006-08-01), Breed et al.
patent: 7110880 (2006-09-01), Breed et al.
patent: 7202776 (2007-04-01), Breed
patent: 7209221 (2007-04-01), Breed et al.
patent: 7295925 (2007-11-01), Breed et al.
patent: 7343265 (2008-03-01), Andarawis et al.
patent: 7359782 (2008-04-01), Breed
patent: 2005/0038573 (2005-02-01), Goudy
patent: 2005/0273212 (2005-12-01), Hougen
patent: 2007/0064242 (2007-03-01), Childers
patent: 2007/0233353 (2007-10-01), Kade
patent: 2007/0282506 (2007-12-01), Breed et al.
patent: 2008/0046150 (2008-02-01), Breed
patent: 2010/0148940 (2010-06-01), Gelvin et al.
Optimal In-Place Learning and the Lobe Component Analysis; Juyan Weng and Nan Zhang.
Ji Zhengping
Prokhorov Danil V.
Gifford, Krass, Spinkle, Anderson & Citkowski, P.C.
Maung Zarni
Toyota Motor Engineering & Manufacturing North America, Inc
LandOfFree
Method and system of sparse code based object classification... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system of sparse code based object classification..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system of sparse code based object classification... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4315607