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:
Oct. 05, 2021

Filed:

Nov. 30, 2018
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Liangliang Zhang, Sunnyvale, CA (US);

Hongyi Sun, Sunnyvale, CA (US);

Dong Li, Sunnyvale, CA (US);

Jiangtao Hu, Sunnyvale, CA (US);

Jinghao Miao, Sunnyvale, CA (US);

Jiaming Tao, Sunnyvale, CA (US);

Yifei Jiang, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G01C 21/36 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); G01C 21/3667 (2013.01); G05D 1/0221 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G05D 1/027 (2013.01); G05D 1/0231 (2013.01); G05D 1/0257 (2013.01); G05D 1/0278 (2013.01); G05D 2201/0213 (2013.01);
Abstract

In one embodiment, a method, apparatus, and system may predict behavior of environmental objects using machine learning at an autonomous driving vehicle (ADV). One or more yield/overtake decisions are made with respect to one or more objects in the ADV's surrounding environment using a data processing architecture comprising at least a first, a second, and a third neural networks, the first, the second, and the third neural networks having been trained with a training data set. Driving signals are generated based at least in part on the yield/overtake decisions to control operations of the ADV.


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