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:
Mar. 10, 2020

Filed:

Jun. 23, 2017
Applicants:

Toyota Motor Engineering & Manufacturing North America, Inc., Erlanger, KY (US);

Toyota Jidosha Kabushiki Kaisha, Toyota-shi, Aichi-ken, JP;

Inventors:

Heishiro Toyoda, Ann Arbor, MI (US);

Hiroto Hamada, Aichi, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01G 1/16 (2006.01); G06N 20/00 (2019.01); B60K 35/00 (2006.01); B60W 30/08 (2012.01); B62D 15/02 (2006.01); G02B 27/01 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 13/80 (2011.01); G06T 19/00 (2011.01); G07C 5/08 (2006.01); G08G 1/01 (2006.01); G08G 1/0962 (2006.01); G08G 1/16 (2006.01);
U.S. Cl.
CPC ...
G08G 1/16 (2013.01); B60K 35/00 (2013.01); B60W 30/08 (2013.01); B62D 15/029 (2013.01); G02B 27/0101 (2013.01); G06K 9/00805 (2013.01); G06K 9/6277 (2013.01); G06N 20/00 (2019.01); G06T 13/80 (2013.01); G06T 19/006 (2013.01); G07C 5/0825 (2013.01); G07C 5/0841 (2013.01); G08G 1/0112 (2013.01); G08G 1/0962 (2013.01); G08G 1/166 (2013.01); B60K 2370/186 (2019.05); B60K 2370/334 (2019.05); G02B 2027/014 (2013.01);
Abstract

System, methods, and other embodiments described herein relate to engaging a driver of a vehicle about driving behaviors. In one embodiment, a method includes computing predicted controls according to at least a defined skill level of the driver. The predicted controls indicate how to control the vehicle to maintain the vehicle along a driving path on a roadway. The method includes, in response to receiving manual control inputs from the driver, generating control feedback to the driver about the manual control inputs based, at least in part, on a difference between the manual control inputs and the predicted controls.


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