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:
Aug. 10, 2021

Filed:

Jul. 21, 2017
Applicant:

Mobileye Vision Technologies Ltd., Jerusalem, IL;

Inventor:

Ofer Fridman, Jerusalem, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06K 9/00 (2006.01); H04N 7/18 (2006.01); G06T 7/12 (2017.01); H04N 13/239 (2018.01); G01C 21/28 (2006.01); G01C 21/00 (2006.01); G06T 7/70 (2017.01); G01C 21/32 (2006.01); G08G 1/0967 (2006.01); H04N 5/247 (2006.01); G06T 11/60 (2006.01); G06T 7/73 (2017.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G06T 7/37 (2017.01); H04N 13/00 (2018.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0251 (2013.01); G01C 21/28 (2013.01); G01C 21/32 (2013.01); G01C 21/3822 (2020.08); G01C 21/3848 (2020.08); G05D 1/0221 (2013.01); G05D 1/0246 (2013.01); G05D 1/0274 (2013.01); G05D 1/0278 (2013.01); G06K 9/00791 (2013.01); G06K 9/00798 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/337 (2017.01); G06T 7/37 (2017.01); G06T 7/70 (2017.01); G06T 7/74 (2017.01); G06T 11/60 (2013.01); G08G 1/096708 (2013.01); G08G 1/096725 (2013.01); H04N 5/247 (2013.01); H04N 7/18 (2013.01); H04N 13/239 (2018.05); G05D 1/0088 (2013.01); G05D 1/0231 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30256 (2013.01); H04N 2013/0081 (2013.01);
Abstract

Systems and methods are provided for crowdsourcing a sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium may include a sparse map for autonomous vehicle navigation along a road segment. The sparse map may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature, and wherein the road surface feature is identified through image analysis of a plurality of images acquired as one or more vehicles traverse the road segment and a plurality of landmarks associated with the road segment.


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