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. 17, 2024

Filed:

Jun. 10, 2021
Applicant:

Plusai, Inc., Cupertino, CA (US);

Inventors:

Hao Zheng, Saratoga, CA (US);

David Wanqian Liu, Los Altos, CA (US);

Timothy Patrick Daly, Jr., San Jose, CA (US);

Assignee:

PlusAI, Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 30/00 (2006.01); G05D 1/00 (2006.01); G06F 18/21 (2023.01); G06F 18/25 (2023.01); G06N 3/08 (2023.01); G06N 3/092 (2023.01); G06N 3/098 (2023.01); G06N 5/02 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); B60W 30/00 (2013.01); G05D 1/0088 (2013.01); G05D 1/0274 (2013.01); G05D 1/0287 (2013.01); G06F 18/217 (2023.01); G06F 18/251 (2023.01); G06N 3/092 (2023.01); G06N 3/098 (2023.01); G06N 5/02 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/803 (2022.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06T 2207/30261 (2013.01);
Abstract

The present teaching relates to method, system, medium, and implementation of a global model update center. At least one model is established at the model update center for detecting objects surrounding each of autonomous driving vehicles of a fleet. A plurality of labeled data items are received, from the fleet of autonomous driving vehicles, where each of the labeled data items is detected, based on the at least one model, from sensor data characterizing surroundings of the autonomous driving vehicles. The labeled data items are generated automatically on-the-fly by the autonomous driving vehicles. Based on the received labeled data items, at least some of the models are updated and model update information is accordingly generated. Such generated model update information is then distributed to the fleet of autonomous driving vehicles.


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