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:
Feb. 26, 2019
Filed:
Apr. 26, 2017
Applicant:
Ford Global Technologies, Llc, Dearborn, MI (US);
Inventors:
Frederic Stefan, Aachen, DE;
Alain Marie Roger Chevalier, Henri-Chapelle, BE;
Evangelos Bitsanis, Aachen, DE;
Michael Marbaix, Haillot, BE;
Assignee:
Ford Global Technologies, LLC, Dearborn, MI (US);
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G07C 5/08 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/053 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/18 (2006.01); G06F 3/16 (2006.01); G06N 5/04 (2006.01); G06N 99/00 (2010.01); G09B 7/02 (2006.01); G09B 7/10 (2006.01); A61B 5/00 (2006.01); A61B 5/16 (2006.01); G09B 19/16 (2006.01); A61B 3/113 (2006.01); G07C 5/00 (2006.01); A61B 3/11 (2006.01);
U.S. Cl.
CPC ...
G07C 5/0841 (2013.01); A61B 5/024 (2013.01); A61B 5/0205 (2013.01); A61B 5/0531 (2013.01); A61B 5/0816 (2013.01); A61B 5/11 (2013.01); A61B 5/165 (2013.01); A61B 5/18 (2013.01); A61B 5/6893 (2013.01); A61B 5/749 (2013.01); G06F 3/167 (2013.01); G06N 5/04 (2013.01); G06N 99/005 (2013.01); G09B 7/02 (2013.01); G09B 7/10 (2013.01); G09B 19/16 (2013.01); G09B 19/167 (2013.01); A61B 3/112 (2013.01); A61B 3/113 (2013.01); A61B 2503/22 (2013.01); G07C 5/008 (2013.01);
Abstract
A method of operating a motor vehicle includes detecting at least one motor vehicle driver response, producing a perception model based on the detected motor vehicle driver response, and analyzing the perception model to at avoid least one motor vehicle driver response by adjusting a parameter of the motor vehicle. Analysis of the perception model can also be carried out to predict a motor vehicle driver response, in particular during the generation of new control software for the vehicle.