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:
Jan. 06, 2026

Filed:

Nov. 29, 2021
Applicant:

Magic Leap, Inc., Plantation, FL (US);

Inventors:

Gil Sokol, Tel Aviv, IL;

Moshe Bouhnik, Holon, IL;

Ankur Gupta, Union City, CA (US);

David Gadot Kabasu, Herzliya, IL;

Konstantinos Zampogiannis, San Jose, CA (US);

Assignee:

Magic Leap, Inc., Plantation, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/327 (2018.01); G06N 3/08 (2023.01); G06N 3/126 (2023.01); G06N 7/01 (2023.01); G06T 19/00 (2011.01); G06V 10/44 (2022.01); G06V 20/70 (2022.01); H04N 13/00 (2018.01); H04N 13/239 (2018.01); H04N 13/246 (2018.01); H04N 13/271 (2018.01); H04N 13/344 (2018.01);
U.S. Cl.
CPC ...
H04N 13/327 (2018.05); G06T 19/006 (2013.01); G06V 10/44 (2022.01); G06V 20/70 (2022.01); H04N 13/239 (2018.05); H04N 13/246 (2018.05); H04N 13/271 (2018.05); H04N 13/344 (2018.05); G06N 3/08 (2013.01); G06N 3/126 (2013.01); G06N 7/01 (2023.01); H04N 2013/0081 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing miscalibration detection. One of the methods includes receiving sensor data from each of multiple sensors of a device in a system configured to provide augmented reality or mixed reality output to a user. Feature values are determined based on the sensor data for a predetermined set of features. The determined feature values are processed using a miscalibration detection model that has been trained, based on examples of captured sensor data from one or more devices, to predict whether a miscalibration condition of one or more of the multiple sensors has occurred. Based on the output of the miscalibration detection model, the system determines whether to initiate recalibration of extrinsic parameters for at least one of the multiple sensors or to bypass recalibration.


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