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. 30, 2025

Filed:

Jun. 30, 2022
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Shu Jiang, Sunnyvale, CA (US);

Yu Cao, Sunnyvale, CA (US);

Weiman Lin, Sunnyvale, CA (US);

Szu Hao Wu, Sunnyvale, CA (US);

Jiangtao Hu, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 60/00 (2020.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 60/00276 (2020.02); G06V 10/82 (2022.01); G06V 20/58 (2022.01); B60W 2554/4046 (2020.02);
Abstract

According to various embodiments, the disclosure discloses systems, methods and media for formulating training datasets for learning-based components in an autonomous driving vehicle (ADV). In an embodiment, an exemplary method includes allocating training datasets for training a learning-based model in the ADV, each training dataset being allocated to one of multiple predefined driving scenarios; determining a weight of each training dataset out of the training datasets; and optimizing the weight of each training dataset in one or more iterations according to a predetermined algorithm until a performance of the learning-based model reaches a predetermined threshold. The predetermined algorithm is one of a random search algorithm, a grid search algorithm, or a Bayesian algorithm.


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