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. 23, 2021

Filed:

Sep. 06, 2018
Applicant:

Uber Technologies, Inc., San Francisco, CA (US);

Inventors:

Chandan Prakash Sheth, Fremont, CA (US);

Sheng Yang, Fremont, CA (US);

Assignee:

Uber Technologies, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G01C 21/20 (2006.01); G06T 7/00 (2017.01); G01S 19/13 (2010.01); G06T 11/60 (2006.01);
U.S. Cl.
CPC ...
G01C 21/3415 (2013.01); G01C 21/20 (2013.01); G01C 21/3484 (2013.01); G06K 9/6257 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/0002 (2013.01); G01S 19/13 (2013.01); G06T 11/60 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30241 (2013.01);
Abstract

Systems and methods of identifying incorrect coordinate prediction using route information are disclosed herein. In some example embodiments, a computer system receives route information and geographic image data. The route information corresponds to a servicing of a request associated with a place and indicates a travelled route that has been traveled by a user in traveling from an origin location to the place, and the geographic image data represents a geographic area corresponding to the travelled route. The computer system determines that an initial geographic location stored in a database in association with the place is incorrect based on the route information and the geographic image data using a first deep learning model, and then performs a verification operation based on the determining that the stored initial geographic location of the place is incorrect.


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