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:
Sep. 14, 2021

Filed:

Jun. 28, 2019
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Yuliang Guo, Sunnyvale, CA (US);

Tae Eun Choe, Sunnyvale, CA (US);

Ka Wai Tsoi, Sunnyvale, CA (US);

Guang Chen, Sunnyvale, CA (US);

Weide Zhang, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/536 (2017.01); G06T 7/80 (2017.01); G05D 1/02 (2020.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/536 (2017.01); B60W 50/00 (2013.01); G05D 1/0231 (2013.01); G06K 9/00798 (2013.01); G06T 7/80 (2017.01); B60W 2050/0083 (2013.01); G05D 1/027 (2013.01); G05D 1/0257 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01); G06T 2207/10004 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30256 (2013.01);
Abstract

In some implementations, a method is provided. The method includes obtaining an image depicting an environment where an autonomous driving vehicle (ADV) is located. The method also includes determining, using a first neural network, a plurality of line indicators based on the image. The plurality of line indicators represent one or more lanes in the environment. The method further includes determining, using a second neural network, a vanishing point within the image based on the plurality of line segments. The second neural network is communicatively coupled to the first neural network. The plurality of line indicators is determined simultaneously with the vanishing point. The method further includes calibrating one or more sensors based of the autonomous driving vehicle based on the vanishing point.


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