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:
Aug. 11, 2026

Filed:

Jun. 29, 2022
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Fan Bai, Ann Arbor, MI (US);

Markus Jochim, Troy, MI (US);

Douglas C. Martin, Goodrich, MI (US);

Mahesh Pottelu, Shelby Township, MI (US);

Ahmad El Baba, Windsor, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G07C 5/08 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5033 (2013.01); G07C 5/0841 (2013.01);
Abstract

A system for cloud coordinated vehicle data collection includes an onboard vehicle data management subsystem and a remotely-located back-office subsystem. Each subsystem includes one or more control modules having a processor, a memory, and input/output (I/O) ports. The control modules execute program code portions stored in memory. A first program code portion collects vehicle data from onboard vehicle data sources. A second program code portion determines which of several distinct communications systems will be used to transmit the vehicle data to the remotely-located back-office subsystem. A third program code portion causes the remotely-located back-office subsystem to allocate data processing tasks to specific computing resources. A fourth program code portion causes the onboard vehicle data management subsystem and the remotely-located back-office subsystem to continuously adjust data processing task allocation between onboard vehicle control modules and remotely located back-office control modules by minimizing costs and honoring task deadlines and resource consumption constraints.


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