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:
Dec. 06, 2022

Filed:

Sep. 30, 2019
Applicant:

Zoox, Inc., Foster City, CA (US);

Inventors:

Anton Mario Bongio Karrman, Foster City, CA (US);

Cooper Stokes Sloan, San Francisco, CA (US);

Chuang Wang, Sunnyvale, CA (US);

Joshua Kriser Cohen, Sunnyvale, CA (US);

Yassen Ivanchev Dobrev, Foster City, CA (US);

Jifei Qian, Campbell, CA (US);

Assignee:

Zoox, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/931 (2020.01); G01S 7/41 (2006.01); G01S 13/42 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01S 13/931 (2013.01); G01S 7/417 (2013.01); G01S 13/42 (2013.01); G05D 1/0088 (2013.01); G05D 1/0257 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

Techniques for updating data operations in a perception system are discussed herein. A vehicle may use a perception system to capture data about an environment proximate to the vehicle. The perception system may receive state data stored in cyclic buffer of globally registered detection and occasionally converted to gridded point cloud in a local reference frame. The two-dimensional gridded point cloud may be processed using one or more neural networks to generate semantic data associated with a scene or physical environment surrounding the vehicle such that the vehicle can make environment aware operational decisions, which may improve reaction time(s) and/or safety outcomes of the autonomous vehicle.


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