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. 26, 2021

Filed:

Dec. 27, 2017
Applicant:

Tesla, Inc., Palo Alto, CA (US);

Inventors:

Forrest Nelson Iandola, San Jose, CA (US);

Donald Benton MacMillen, Hillsborough, CA (US);

Anting Shen, Berkeley, CA (US);

Harsimran Singh Sidhu, Fremont, CA (US);

Daniel Paden Tomasello, Los Altos Hills, CA (US);

Rohan Nandkumar Phadte, San Jose, CA (US);

Paras Jagdish Jain, Cupertino, CA (US);

Assignee:

Tesla, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06N 3/04 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06F 30/15 (2020.01); G06F 30/20 (2020.01);
U.S. Cl.
CPC ...
G05D 1/024 (2013.01); G05D 1/0246 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G06F 30/15 (2020.01); G06F 30/20 (2020.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01);
Abstract

An autonomous control system combines sensor data from multiple sensors to simulate sensor data from high-capacity sensors. The sensor data contains information related to physical environments surrounding vehicles for autonomous guidance. For example, the sensor data may be in the form of images that visually capture scenes of the surrounding environment, geo-location of the vehicles, and the like. The autonomous control system simulates high-capacity sensor data of the physical environment from replacement sensors that may each have lower capacity than high-capacity sensors. The high-capacity sensor data may be simulated via one or more neural network models. The autonomous control system performs various detection and control algorithms on the simulated sensor data to guide the vehicle autonomously.


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