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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 12516948 B1

PDFFull Text
Date of Patent:
Jan. 06, 2026

Filed:

Nov. 26, 2019

Lane mapping and navigation

Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventors:

Dori Shapira, Galon, IL;

Daniel Braunstein, Tzur Hadassah, IL;

Yoram Gdalyahu, Jerusalem, IL;

Kfir Viente, Ramat Gan, IL;

Maxim Schwartz, Mevaseret Zion, IL;

Eli Peker, Jerusalem, IL;

David Huberman, Jerusalem, IL;

Moshe Levin, Jerusalem, IL;

Jonathan Barlev, Jerusalem, IL;

Ora Zackay, Karmei Yosef, IL;

Adi Hayat, Hod HaSharon, IL;

Andras Ferencz, Princeton, NJ (US);

Dor Eagelberg, Ramat Hasharon, IL;

Assignee:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

Anne Marie Antonucci

Assistant Examiner:

Jordan T Smith

Int. Cl.
CPC ...
G01C 21/00 (2006.01); G01C 21/36 (2006.01); G06V 10/762 (2022.01); G06V 10/80 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3602 (2013.01); G01C 21/3658 (2013.01); G01C 21/3822 (2020.08); G01C 21/3841 (2020.08); G01C 21/3848 (2020.08); G01C 21/3896 (2020.08); G06V 10/762 (2022.01); G06V 10/80 (2022.01); G06V 10/811 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G06V 20/647 (2022.01);
Abstract

Systems and methods are disclosed for mapping lanes for use in vehicle navigation. In one implementation, at least one processing device may be programmed to receive navigational information from a first vehicle and a second vehicle that have navigated along a road segment including a lane split feature; receive at least one image associated with the road segment; determine, from the first navigational information, a first actual trajectory of the first vehicle and a second actual trajectory of the second vehicle; determine a divergence between the first actual trajectory and the second actual trajectory; determine, based on analysis of the at least one image, that the divergence between the first actual trajectory and the second actual trajectory is indicative of the lane split feature; and update a vehicle road navigation model to include a first target trajectory and a second target trajectory that branches from the first target trajectory after the lane split feature.

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