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. 31, 2020

Filed:

Sep. 29, 2017
Applicant:

Faraday & Future Inc., Gardena, CA (US);

Inventor:

Evan Roger Fischer, Torrance, CA (US);

Assignee:

FARADAY & FUTURE INC., Gardena, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); B60W 50/08 (2020.01); G05D 1/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05D 1/0221 (2013.01); B60W 50/08 (2013.01); G05D 1/0011 (2013.01); G05D 1/0088 (2013.01); G05D 1/024 (2013.01); G06N 20/00 (2019.01); G05D 2201/0213 (2013.01);
Abstract

Examples of the disclosure are directed to using vehicle users' subjective evaluation of autonomous vehicle performance to adjust operation of one or more autonomous vehicle systems, such as an adaptive cruise control system. In some examples, a vehicle can perform an autonomous maneuver, and can use automotive sensors to collect data describing one or more quantitative aspects of that vehicle during the maneuver, such as make, model, GPS coordinates, mileage, speed, engine activity, or LIDAR data, among other possibilities. In some examples, a control system can receive subjective feedback inputted by the vehicle's user that indicates one or more qualitative evaluations of the completed autonomous maneuver. In some examples, a control system may perform statistical analysis of collected vehicle data and of subjective feedback input by vehicle users to identify correlations between quantitative vehicle parameters, specified types of user feedback and/or autonomous vehicle maneuvers.


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