Patents by Inventor Christopher Gauthier

Christopher Gauthier has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for vehicle acceleration event prediction inhibit
    Patent number: 10906553
    Abstract: Methods and systems for inhibiting an acceleration event prediction includes determining a current vehicle operating condition. An acceleration event is predicted based on a plurality of stored predictions that match the current vehicle operating condition. A determination is made whether to inhibit the acceleration event prediction. The acceleration event prediction is permitted to modify an acceleration event powertrain control such that a powertrain control occurs. A driver noncompliance with the acceleration event powertrain control is stored as a machine learning data and the current vehicle operating condition is stored as machine learning data upon the driver noncompliance. The stored machine learning data is used to determine whether to inhibit a future acceleration event prediction.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: February 2, 2021
    Assignee: Toyota Motor Engineering & Manufactuiring North America, Inc.
    Inventors: Joshua D. Payne, Christopher Gauthier
  • SYSTEMS AND METHODS FOR VEHICLE ACCELERATION EVENT PREDICTION INHIBIT
    Publication number: 20200031364
    Abstract: Methods and systems for inhibiting an acceleration event prediction includes determining a current vehicle operating condition. An acceleration event is predicted based on a plurality of stored predictions that match the current vehicle operating condition. A determination is made whether to inhibit the acceleration event prediction. The acceleration event prediction is permitted to modify an acceleration event powertrain control such that a powertrain control occurs. A driver noncompliance with the acceleration event powertrain control is stored as a machine learning data and the current vehicle operating condition is stored as machine learning data upon the driver noncompliance. The stored machine learning data is used to determine whether to inhibit a future acceleration event prediction.
    Type: Application
    Filed: July 30, 2018
    Publication date: January 30, 2020
    Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
    Inventors: Joshua D. Payne, Christopher Gauthier