Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2005-03-23
2008-10-28
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
07444311
ABSTRACT:
System and method for real-time, automatic, recognition of large time-scale driving patterns employs a statistical pattern recognition framework, implemented by means of feed-forward neural network utilizing models developed for recognizing, for example, four classes of driving environments, namely highway, main road, suburban traffic and city traffic, from vehicle performance data. A vehicle control application effects changes in vehicle performance aspects based on the recognized driving environment.
REFERENCES:
patent: 4102548 (1978-07-01), Kangas
patent: 4171029 (1979-10-01), Beale
patent: 4430656 (1984-02-01), Yamada et al.
patent: 4576065 (1986-03-01), Speranza et al.
patent: 5089963 (1992-02-01), Takahashi
patent: 5486998 (1996-01-01), Corso
patent: 5668717 (1997-09-01), Spall
patent: 5764139 (1998-06-01), Nojima et al.
patent: 5801943 (1998-09-01), Nasburg
patent: 5954781 (1999-09-01), Slepian et al.
patent: 5983161 (1999-11-01), Lemelson et al.
patent: 6188315 (2001-02-01), Herbert et al.
patent: 6341247 (2002-01-01), Hreha et al.
patent: 6405122 (2002-06-01), Yamaguchi
patent: 6415273 (2002-07-01), Fujime
patent: 6773048 (2004-08-01), Freeman
patent: 6879969 (2005-04-01), Engstrom et al.
patent: 7072763 (2006-07-01), Saxon et al.
patent: 7167796 (2007-01-01), Taylor et al.
patent: 2002/0120374 (2002-08-01), Douros et al.
Using Parallel Processing Tools to Predict Rotorcraft Performance, Stability, and Control Carico, D.; Chengjian He; Aerospace Conference, 2007 IEEE Mar. 3-10, 2007 pp. 1-11 Digital Object Identifier 10.1109/AERO.2007.352736.
Experimental study of sources hybridization electromechanical storage system integration into an electric vehicle structure Briat, O.; Vinassa, J.M.; Zardini, C.; Aucouturier, J.L.; Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual vol. 2, Jun. 17-21, 2001 pp. 1237-1242 vol. 2 Digital Object Identifier 10.1109/PESC.
Powertrain sensors and actuators: driving toward optimized vehicle performance Paulsen, J.J.; Giachino, J.M.; Vehicular Technology Conference, 1989 IEEE 39thMay 1-3, 1989 pp. 574-594 vol. 2 Digital Object Identifier 10.1109/VETEC.1989.40134.
Powertrain Sensors And Actuators: Driving Toward Optimized Vehicle Performance Paulsen, J.J.; Transportation Electronics, 1988. Convergence 88. International Congress on Oct. 17-18, 1988 pp. 43-63.
Engstrom Johan
Victor Trent
Holmes Michael B
Novak Druce & Quigg LLP
Volvo Technology Corporation
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