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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 11953340 B1

PDFFull Text
Date of Patent:
Apr. 09, 2024

Filed:

Aug. 12, 2021

Updating road navigation model using non-semantic road feature points

Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventors:

Yoav Taieb, Jerusalem, IL;

Itai Ben Shalom, Mazkeret Batya, IL;

Assignee:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Attorney:

FINNEGAN, HENDERSON, FARABOW, GARRETT & DUNNER, LLP

Primary Examiner:

Guillermo M Rivera-Martinez

Int. Cl.
CPC ...
G01C 21/00 (2006.01); B60W 10/18 (2012.01); B60W 30/18 (2012.01); G01C 21/36 (2006.01); G06T 7/00 (2017.01); G06T 7/246 (2017.01); G06T 7/32 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01); G06V 40/10 (2022.01); G06V 10/46 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3807 (2020.08); B60W 10/18 (2013.01); B60W 30/181 (2013.01); B60W 30/18154 (2013.01); G01C 21/3602 (2013.01); G01C 21/3815 (2020.08); G01C 21/3841 (2020.08); G06T 7/246 (2017.01); G06T 7/32 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/97 (2017.01); G06V 20/582 (2022.01); G06V 20/584 (2022.01); G06V 20/588 (2022.01); G06V 20/64 (2022.01); G06V 40/103 (2022.01); B60W 2554/802 (2020.02); B60W 2556/40 (2020.02); B60W 2556/50 (2020.02); G06T 2207/30252 (2013.01); G06T 2207/30256 (2013.01); G06T 2207/30261 (2013.01); G06V 10/462 (2022.01); G06V 20/58 (2022.01); G06V 2201/07 (2022.01); G06V 2201/08 (2022.01);
Abstract

A navigation system may include a processor programmed to analyze a first image to identify a non-semantic road feature; identify a first image location, in the first image, of one point associated with the non-semantic road feature; analyze a second image to identify a representation of the non-semantic road feature in the second image; identify a second image location, in the second image, of the one point associated with the non-semantic road feature; determine, based on a difference between the first and second image locations and based on motion information for a vehicle between a capture of the first image and a capture of the second image, three-dimensional coordinates for the one point associated with the non-semantic road feature; and send the three-dimensional coordinates for the one point associated with the non-semantic road feature to a server for use in updating a road navigation model.

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