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. 10, 2024

Filed:

Jan. 27, 2023
Applicant:

Tesla, Inc., Austin, TX (US);

Inventors:

Elon Musk, Los Angeles, CA (US);

Kate Park, Los Altos, CA (US);

Nenad Uzunovic, San Carlos, CA (US);

Christopher Coleman Moore, San Francisco, CA (US);

Francis Havlak, Half Moon Bay, CA (US);

Stuart Bowers, Palo Alto, CA (US);

Andrej Karpathy, San Francisco, CA (US);

Arvind Ramanandan, Sunnyvale, CA (US);

Ashima Kapur Sud, San Jose, CA (US);

Paul Chen, Woodside, CA (US);

Paril Jain, Mountain View, CA (US);

Alexander Hertzberg, Berkeley, CA (US);

Jason Kong, San Francisco, CA (US);

Li Wang, Cupertino, CA (US);

Oktay Arslan, Fremont, CA (US);

Nicklas Gustafsson, Menlo Park, CA (US);

Charles Shieh, Cupertino, CA (US);

David Seelig, Stanford, CA (US);

Assignee:

Tesla, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2024.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G05D 1/12 (2013.01); G05D 1/0033 (2013.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.


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