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:
Sep. 28, 2021

Filed:

Feb. 14, 2020
Applicant:

General Motors Llc, Detroit, MI (US);

Inventors:

Donal McErlean, County Clare, IE;

Joon Hwang, Pflugerville, TX (US);

Geoffrey Wakefield, Lakeway, TX (US);

Mason D Gemar, Cedar Park, TX (US);

Scott E. Jackson, Northville, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 1/09 (2006.01); G08G 1/0967 (2006.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); H04W 4/44 (2018.01); H04L 12/40 (2006.01); G07C 5/00 (2006.01); G07C 5/02 (2006.01); G07C 5/08 (2006.01); B60R 16/023 (2006.01); H04W 84/04 (2009.01);
U.S. Cl.
CPC ...
G08G 1/096708 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/0816 (2013.01); G08G 1/091 (2013.01); G08G 1/096741 (2013.01); H04L 12/40 (2013.01); H04W 4/44 (2018.02); B60R 16/0231 (2013.01); H04L 2012/40215 (2013.01); H04L 2012/40273 (2013.01); H04W 84/042 (2013.01);
Abstract

Apparatuses, methods, and systems of an edge server communicating with vehicles by continuously receiving messages which include data of state transitions of Electronic Control Units (ECUs) contained in each vehicle; monitoring in real-time the streamed message data from each vehicle for detection of updates of data about state transitions of ECUs used in the vehicular operations; crowdsourcing in real-time the state transition data of the ECUs during the vehicular operations to group together state transition data having commonality as crowdsource transition data; processing, using a machine learning model, the crowdsource transition data, to classify the crowdsource transition data of an anomaly event; and transmit in advance to an identified vehicle an alert of the anomaly event in order for a driver or ADAS to execute a response.


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