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:
Feb. 17, 2026

Filed:

May. 25, 2022
Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventors:

Gideon Wachtel, Jerusalem, IL;

Yoav Taieb, Jerusalem, IL;

Yahel Guberman, Jerusalem, IL;

Ofer Fridman, Beit Zayit, IL;

Raz Cohen Maslaton, Mevaseret Zion, IL;

Moshe Shenfeld, Jerusalem, IL;

Ori Segel, Jerusalem, IL;

Ofer Springer, Jerusalem, IL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 30/095 (2012.01); B60R 1/22 (2022.01); B60W 30/16 (2020.01); B60W 60/00 (2020.01); G01C 21/00 (2006.01); G01C 21/30 (2006.01); G01S 19/45 (2010.01); G05D 1/00 (2006.01); G05D 1/246 (2024.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06V 20/58 (2022.01); G08G 1/04 (2006.01);
U.S. Cl.
CPC ...
G01C 21/3815 (2020.08); B60R 1/22 (2022.01); B60W 30/0953 (2013.01); B60W 30/162 (2013.01); B60W 60/0011 (2020.02); B60W 60/0027 (2020.02); G01C 21/005 (2013.01); G01C 21/30 (2013.01); G01C 21/3833 (2020.08); G01C 21/3841 (2020.08); G01C 21/3844 (2020.08); G01C 21/3867 (2020.08); G01C 21/387 (2020.08); G01C 21/3881 (2020.08); G01S 19/45 (2013.01); G05D 1/0223 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); G05D 1/0278 (2013.01); G05D 1/246 (2024.01); G06T 7/74 (2017.01); G06V 10/44 (2022.01); G06V 20/58 (2022.01); G08G 1/04 (2013.01); B60W 2400/00 (2013.01); B60W 2420/403 (2013.01); B60W 2556/50 (2020.02); G06T 2207/10028 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30256 (2013.01);
Abstract

Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.


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