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:
Jan. 23, 2024

Filed:

Apr. 06, 2020
Applicant:

Harman International Industries, Incorporated, Stamford, CT (US);

Inventors:

Joseph Verbeke, San Francisco, CA (US);

Sven Kratz, Saratoga, CA (US);

Stefan Marti, Oakland, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B63B 79/40 (2020.01); B60W 40/08 (2012.01); B63G 8/00 (2006.01); B64C 39/02 (2023.01); B64G 1/24 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0013 (2020.02); B60W 40/08 (2013.01); B63B 79/40 (2020.01); B63G 8/001 (2013.01); B64C 39/024 (2013.01); B64G 1/24 (2013.01); G05B 13/0265 (2013.01); B60W 2300/10 (2013.01); B60W 2300/17 (2013.01); B60W 2300/36 (2013.01); B60W 2420/42 (2013.01); B60W 2520/06 (2013.01); B60W 2520/12 (2013.01); B60W 2540/12 (2013.01); B60W 2540/22 (2013.01); B60W 2540/225 (2020.02); B63G 2008/004 (2013.01); B64G 1/247 (2023.08);
Abstract

In various embodiments, while a self-driving model operates a vehicle, a user monitoring subsystem acquires sensor data associated with a user of the vehicle and a vehicle observation subsystem acquires sensor data associated with the vehicle. The user monitoring subsystem computes values for a psychological metric based on the sensor data associated with the user. Based on the values for the psychological metric, a feedback application determines a description of the user over a first time period. The feedback application generates a dataset based on the description and the sensor data associated with the vehicle. Subsequently, a training application performs machine learning operation(s) on the self-driving model based on the dataset to generate a modified self-driving model. Advantageously, the dataset enables the training application to automatically modify the self-driving model to account for the impact different driving actions have on the user.


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