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.

Date of Patent:
Jan. 21, 2020

Filed:

Aug. 09, 2017
Applicant:

Xevo Inc., Bellevue, WA (US);

Inventors:

John Palmer Cordell, Los Angeles, CA (US);

Robert Victor Welland, Seattle, WA (US);

Samuel James McKelvie, S. Seattle, WA (US);

John Hayes Ludwig, Bellevue, WA (US);

Assignee:

Xevo Inc., Bellevue, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04W 4/02 (2018.01); G08G 1/0968 (2006.01); G08G 1/0969 (2006.01); H04L 29/08 (2006.01); H04W 4/44 (2018.01); G01C 21/36 (2006.01); G08G 1/01 (2006.01); B60Q 9/00 (2006.01); G06K 9/66 (2006.01); G08G 1/16 (2006.01); G08G 1/04 (2006.01); B60R 1/00 (2006.01); B60R 1/04 (2006.01); B60R 1/062 (2006.01); G01S 19/48 (2010.01); G08G 1/14 (2006.01); H04N 7/18 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G05D 1/02 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00845 (2013.01); B60Q 9/008 (2013.01); B60R 1/00 (2013.01); B60R 1/04 (2013.01); B60R 1/062 (2013.01); G01C 21/3602 (2013.01); G01C 21/3605 (2013.01); G01S 19/48 (2013.01); G06K 9/00281 (2013.01); G06K 9/00604 (2013.01); G06K 9/00791 (2013.01); G06K 9/00798 (2013.01); G06K 9/00805 (2013.01); G06K 9/00812 (2013.01); G06K 9/00832 (2013.01); G06K 9/00979 (2013.01); G06K 9/66 (2013.01); G08G 1/0112 (2013.01); G08G 1/0116 (2013.01); G08G 1/0129 (2013.01); G08G 1/04 (2013.01); G08G 1/0969 (2013.01); G08G 1/096811 (2013.01); G08G 1/096861 (2013.01); G08G 1/096888 (2013.01); G08G 1/143 (2013.01); G08G 1/166 (2013.01); H04L 67/10 (2013.01); H04N 7/188 (2013.01); H04W 4/02 (2013.01); H04W 4/44 (2018.02); B60R 2300/105 (2013.01); B60R 2300/8006 (2013.01); G05D 1/0214 (2013.01); G05D 1/0246 (2013.01); G06K 2209/27 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

A method and/or system is able to provide driver fingerprint via metadata extraction managed by a driver rating ('DR') model trained by a machine learning center ('MLC') coupled to a cloud based network (“CBN”). In one embodiment, a DR system includes a set of outward facing cameras, a set of inward facing cameras, and a vehicle onboard computer (“VOC”). The set of outward facing cameras mounted on a vehicle is used to collect external images representing a surrounding environment in which the vehicle operates. The set of inward facing cameras mounted in the vehicle is used to collect internal images including operator body expression representing at least operator's attention. The VOC is configured to determine the identity of operator and current operating style in response to the collected internal images, the collected external images, and historical stored data.


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