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. 18, 2023

Filed:

Sep. 15, 2020
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Yifei Jiang, Sunnyvale, CA (US);

Jinyun Zhou, Sunnyvale, CA (US);

Jiaming Tao, Sunnyvale, CA (US);

Shu Jiang, Sunnyvale, CA (US);

Jiangtao Hu, Sunnyvale, CA (US);

Jinghao Miao, Sunnyvale, CA (US);

Shiyu Song, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01C 21/00 (2006.01); B60W 30/095 (2012.01); B60W 30/18 (2012.01); G01C 21/34 (2006.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 30/0956 (2013.01); B60W 30/18163 (2013.01); B60W 60/0013 (2020.02); B60W 60/0015 (2020.02); G01C 21/3453 (2013.01); G01C 21/3885 (2020.08); G06N 3/08 (2013.01); B60W 2552/53 (2020.02); B60W 2555/60 (2020.02);
Abstract

In one embodiment, a system/method generates a driving trajectory for an autonomous driving vehicle (ADV). The system perceives an environment of an autonomous driving vehicle (ADV). The system determines one or more bounding conditions based on the perceived environment. The system generates a first trajectory using a neural network model, wherein the neural network model is trained to generate a driving trajectory. The system evaluates/determines if the first trajectory satisfies the one or more bounding conditions. If the first trajectory satisfies the one or more bounding conditions, the system controls the ADV autonomously according to the first trajectory. Otherwise, the system controls the ADV autonomously according to a second trajectory, where the second trajectory is generated based on an objective function, where the objective function is determined based on at least the one or more bounding conditions.


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