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. 29, 2023

Filed:

Feb. 07, 2020
Applicant:

Micron Technology, Inc., Boise, ID (US);

Inventor:

Junichi Sato, Yokohama, JP;

Assignee:

Micron Technology, Inc., Boise, ID (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B62D 15/02 (2006.01); B60W 40/09 (2012.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01); G07C 5/08 (2006.01); G06V 20/59 (2022.01); G06V 10/82 (2022.01); B60W 40/08 (2012.01);
U.S. Cl.
CPC ...
B62D 15/025 (2013.01); B60W 40/09 (2013.01); B60W 60/0051 (2020.02); G06N 3/08 (2013.01); G06V 10/82 (2022.01); G06V 20/597 (2022.01); G07C 5/085 (2013.01); B60W 2040/0863 (2013.01); B60W 2540/30 (2013.01);
Abstract

A system can train a vehicle electronically to accommodate a driver. The system can train the vehicle to accommodate the ability, condition, and/or personality of the driver. The system can change the controls of the vehicle, responsive to the inputs from the driver, to match with the patterns of controls resulting from a predetermined model (such as a safe-driver model). Accordingly, the vehicle can appear as it is being driven by a safe driver when it may not be the case. A driver with a lower driving competence may apply physical controls in a pattern that may be slow, unstable, or insufficient. However, the vehicle can be trained to adjust the transformation from the UI signals to the drive-by-wire signals such that the transformed signals appear to be applied by a more competent driver on the road. And, the transformation can improve over time with training via machine learning.


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