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:
Aug. 22, 2023

Filed:

Dec. 07, 2018
Applicant:

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

Inventor:

James Graham Dolan, Foster City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 20/10 (2019.01); G06F 30/20 (2020.01); G01S 17/89 (2020.01); G06N 20/00 (2019.01); G01S 13/89 (2006.01); G06F 30/15 (2020.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); G01S 13/89 (2013.01); G01S 17/89 (2013.01); G06N 20/00 (2019.01); G06F 30/15 (2020.01); H04N 23/90 (2023.01);
Abstract

An object model for a real-world object is constructed using a parameter-based object generator, where the parameters for the object model are determined using sensor data such as photographic images, radar images, or LIDAR images obtained from the real-world object. Conversion of the sensor data to appropriate object parameters is accomplished using a machine learning system. The machine learning system is calibrated by generating a plurality of object parameters, generating a corresponding plurality of learning objects from the plurality of object parameters, generating a plurality of simulated sensor return data for the learning objects, and then providing the simulated sensor return data and object parameters to the machine learning system.


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