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:
Jul. 09, 2024

Filed:

May. 23, 2022
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Mark Damon Wheeler, Saratoga, CA (US);

Gregory William Coombe, Mountain View, CA (US);

Di Zeng, Sunnyvale, CA (US);

Jeff Adachi, El Cerrito, CA (US);

Chen Chen, San Jose, CA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/16 (2006.01); G01C 21/00 (2006.01); G01S 19/39 (2010.01); G01S 19/46 (2010.01); G01S 19/47 (2010.01); G01S 19/52 (2010.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G01C 21/165 (2013.01); G01C 21/1652 (2020.08); G01C 21/1656 (2020.08); G01C 21/3848 (2020.08); G01S 19/393 (2019.08); G01S 19/46 (2013.01); G01S 19/47 (2013.01); G01S 19/52 (2013.01); G05D 1/0231 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G05D 1/027 (2013.01); G05D 1/0278 (2013.01); G01C 21/1654 (2020.08);
Abstract

A vehicle computing system validates location data received from a Global Navigation Satellite System receiver with other sensor data. In one embodiment, the system calculates velocities with the location data and the other sensor data. The system generates a probabilistic model for velocity with a velocity calculated with location data and variance associated with the location data. The system determines a confidence score by applying the probabilistic model to one or more of the velocities calculated with other sensor data. In another embodiment, the system implements a machine learning model that considers features extracted from the sensor data. The system generates a feature vector for the location data and determines a confidence score for the location data by applying the machine learning model to the feature vector. Based on the confidence score, the system can validate the location data. The validated location data is useful for navigation and map updates.


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