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. 01, 2025

Filed:

May. 25, 2022
Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventors:

Yahel Guberman, Jerusalem, IL;

Ofer Springer, Jerusalem, IL;

Ofer Fridman, Beit Zayit, IL;

Yoav Taieb, Jerusalem, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); B60R 1/22 (2022.01); B60W 30/095 (2012.01); B60W 60/00 (2020.01); G01C 21/30 (2006.01); G01S 19/45 (2010.01); G05D 1/00 (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 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); 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); G06T 2207/10028 (2013.01); G06T 2207/30244 (2013.01); G06T 2207/30256 (2013.01);
Abstract

Systems and methods for creating maps used in navigating autonomous vehicles are disclosed. In one implementation at least one processor is programmed to receive drive information from each of a plurality of vehicles that traverse different entrance-exit combinations of a road junction; for each of the entrance-exit combinations, align three-dimensional feature points in the drive information to generate a plurality of aligned three-dimensional feature point groups, one for each entrance-exit combination of the road junction; correlate one or more three-dimensional feature points in each of the plurality of aligned three-dimensional feature point groups with one or more three-dimensional feature points included in every other aligned three-dimensional feature point group from among the plurality of aligned three-dimensional feature point groups; and generate a sparse map based on the correlation, the sparse map including a target trajectory associated with each of the entrance-exit combinations.


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