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:
Oct. 24, 2023

Filed:

Sep. 30, 2020
Applicant:

Mitchell International, Inc., San Diego, CA (US);

Inventors:

Abhijeet Gulati, San Diego, CA (US);

Joseph Hyland, San Diego, CA (US);

Assignee:

Mitchell International, Inc., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/20 (2023.01); G06N 5/04 (2023.01); G06Q 10/10 (2023.01); G06Q 40/08 (2012.01); G06T 7/00 (2017.01); G06N 20/20 (2019.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); G06F 18/2148 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 10/10 (2013.01); G06Q 40/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/0004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30248 (2013.01);
Abstract

Automated vehicle repair estimation by adaptive ensembling of multiple artificial intelligence functions is provided. A method comprises receiving, from a plurality of sources, vehicle repair recommendation sets identifying recommended vehicle repair operations for damaged vehicle components; selecting, by a trained artificial intelligence function, one of the operations for each component based on a plurality of learned states; generating a composite vehicle repair recommendation set identifying the selected operation; providing the composite vehicle repair recommendation set to one or more claims management systems; and repeatedly retraining the trained artificial intelligence function by adjusting the learned states according to the vehicle damage objects received, and the corresponding composite vehicle repair recommendation generated, since the last retraining of the trained artificial intelligence function.


Find Patent Forward Citations

Loading…