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. 03, 2023

Filed:

Sep. 01, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Jonathon Shlens, San Francisco, CA (US);

Vijay Vasudevan, Los Altos Hills, CA (US);

Jiquan Ngiam, Mountain View, CA (US);

Wei Han, Mountain View, CA (US);

Zhifeng Chen, Sunnyvale, CA (US);

Brandon Chauloon Yang, Saratoga, CA (US);

Benjamin James Caine, San Francisco, CA (US);

Zhengdong Zhang, Mountain View, CA (US);

Christoph Sprunk, Mountain View, CA (US);

Ouais Alsharif, Mountain View, CA (US);

Junhua Mao, Palo Alto, CA (US);

Chen Wu, Cupertino, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 17/89 (2020.01); G06T 17/00 (2006.01); G06V 20/10 (2022.01); G06N 3/048 (2023.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); G06N 3/048 (2023.01); G06T 17/00 (2013.01); G06V 10/764 (2022.01); G06V 20/10 (2022.01); G06V 20/56 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.


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