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:
Apr. 05, 2022

Filed:

Jun. 06, 2020
Applicant:

Beijing Didi Infinity Technology and Development Co., Ltd., Beijing, CN;

Inventors:

Mengxi Li, Beijing, CN;

Wei Shao, Beijing, CN;

Tingting Song, Beijing, CN;

Maozong Zheng, Beijing, CN;

Pengfei Xu, Beijing, CN;

Kaiqiang An, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/32 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 3/40 (2006.01); G06T 5/50 (2006.01);
U.S. Cl.
CPC ...
G01C 21/32 (2013.01); G06K 9/00476 (2013.01); G06K 9/629 (2013.01); G06K 9/6256 (2013.01); G06T 3/40 (2013.01); G06T 5/50 (2013.01); G06T 2207/20061 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01);
Abstract

A method configured to implemented on at least one map processing device for determining new roads on a map includes obtaining a first road network image of a region, the first road network image including a first plurality of roads. The method also includes determining a second road network image of the region based on a map of the region, the second road network image including a second plurality of roads that are not present in the first road network image. The method further includes determining a third road network image by concatenating the first road network image and the second road network image. The method still further includes determining a fourth road network image of the region by processing the third road network with at least one convolution layer, the fourth road network including the second plurality of roads.


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