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. 10, 2024

Filed:

Sep. 20, 2022
Applicants:

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

University of Waterloo, Waterloo, CA;

Inventors:

Amir Khajepour, Waterloo, CA;

Amin Habibnejad Korayem, Markham, CA;

Ehsan Hashemi, Waterloo, CA;

Qingrong Zhao, Warren, MI (US);

SeyedAlireza Kasaiezadeh Mahabadi, Novi, MI (US);

Yechen Qin, Beijing, CN;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 40/10 (2012.01); B60W 40/13 (2012.01); G07C 5/08 (2006.01);
U.S. Cl.
CPC ...
B60W 40/10 (2013.01); B60W 40/13 (2013.01); G07C 5/085 (2013.01); B60W 2040/1315 (2013.01);
Abstract

A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.


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