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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.

Patent No.:

US 11776280 B1

PDFFull Text
Date of Patent:
Oct. 03, 2023

Filed:

Aug. 31, 2021

Systems and methods for mapping based on multi-journey data

Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Onkar Jayant Dabeer, Redmond, WA (US);

Kiran Somasundaram, San Diego, CA (US);

Radhika Dilip Gowaikar, San Diego, CA (US);

Ravi Teja Sukhavasi, Fremont, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:

QUALCOMM Incorporated

Primary Examiner:

Alex Kok S Liew

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 20/58 (2022.01); G01C 21/36 (2006.01); G06V 20/10 (2022.01); G06V 20/56 (2022.01); G01C 21/00 (2006.01); G06F 18/231 (2023.01); G06F 18/22 (2023.01); G06F 18/2135 (2023.01); G06F 18/23213 (2023.01); G06V 10/762 (2022.01); G06V 10/77 (2022.01); G01C 21/30 (2006.01); G06T 17/05 (2011.01);
U.S. Cl.
CPC ...
G06V 20/582 (2022.01); G01C 21/30 (2013.01); G01C 21/3602 (2013.01); G01C 21/3867 (2020.08); G01C 21/3881 (2020.08); G06F 18/2135 (2023.01); G06F 18/22 (2023.01); G06F 18/231 (2023.01); G06F 18/23213 (2023.01); G06T 17/05 (2013.01); G06V 10/763 (2022.01); G06V 10/7625 (2022.01); G06V 10/7715 (2022.01); G06V 20/10 (2022.01); G06V 20/56 (2022.01); G06V 20/588 (2022.01);
Abstract

A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.

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