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. 29, 2025

Filed:

Feb. 06, 2025
Applicant:

Aim Design, Llc, Appleton, WI (US);

Inventors:

Anders Irving Matta, Woodside, CA (US);

Randolph Beauregard Robert, Iii, Delaware, OH (US);

Matthew Joseph Messinger, Madison, WI (US);

Assignee:

AIM Design, LLC, Appleton, WI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01C 25/00 (2006.01); G05B 23/02 (2006.01); G06F 30/27 (2020.01);
U.S. Cl.
CPC ...
G01C 25/005 (2013.01); G05B 23/024 (2013.01); G05B 23/0283 (2013.01); G05B 23/0294 (2013.01); G06F 30/27 (2020.01);
Abstract

Provided herein are methods for Inertial Measurement Unit (IMU) sensor compensation utilizing deep neural network (DNN) technology. In some embodiments, the methods involve receiving sensor values from gyroscopes, accelerometers, and non-motion sensors, then loading these values into a deep learning algorithm alongside true sensor values. Unlike traditional calibration techniques that rely on complex parametric models, this approach may utilize a neural network to directly process raw sensor data and enhance output signal accuracy. In some embodiments, the training process employs ground truth data for approximately 70% of inputs, with the remaining 30% dedicated to sensor compensation. The technique may be implemented in standalone IMUs, augmented IMUs, and navigation systems, offering improved accuracy and reduced computational overhead across various technological applications.


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