Artificial Intelligence Aiding for Gyrocompassing
Summary
Honeywell International Inc. filed patent application US20260092782A1 for an AI-assisted gyrocompassing system. The invention uses a trained machine learning model to predict vehicle attitude, heading, or latitude from inertial measurement unit data, reducing initial alignment time during gyrocompass unit start-up. The application was filed October 1, 2024, and published April 2, 2026.
What changed
Honeywell International Inc. published patent application US20260092782A1 describing a system that combines traditional gyrocompassing computation with artificial intelligence. The system includes an inertial measurement unit (IMU) and processors hosting a gyrocompassing computation module alongside a machine learning model trained to predict attitude, heading, or latitude from inertial data. The AI model functions as an aiding source during initialization to reduce the initial alignment time of the gyrocompass unit.
This is a routine patent application notice with no compliance requirements or deadlines. Technology and transportation companies developing navigation systems, inertial measurement units, or AI-assisted positioning systems may find this patent relevant for prior art searches or competitive intelligence purposes. No immediate action is required from compliance teams.
Archived snapshot
Apr 2, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
ARTIFICIAL INTELLIGENCE AIDING FOR GYROCOMPASSING
Application US20260092782A1 Kind: A1 Apr 02, 2026
Assignee
Honeywell International Inc.
Inventors
Jan Bilek, Michal Zaruba, Alessandro Maria Laspina, Martin Cagas, Tereza Hytychova
Abstract
A system comprises a gyrocompass unit onboard a vehicle, with the gyrocompass unit comprising an inertial measurement unit (IMU) operative to produce inertial data for the vehicle. At least one processor is in operative communication with the IMU, the at least one processor hosting a set of program modules comprising: a gyrocompassing computation module operative to process the inertial data from the IMU and determine an attitude, heading, or latitude of the vehicle; and an artificial intelligence module including a trained gyrocompassing machine learning model, which is operative to process the inertial data from the IMU and predict an attitude, heading, or latitude of the vehicle. The gyrocompassing computation module is configured to receive the predicted attitude, heading, or latitude from the machine learning model, which operates as an aiding source during initialization or start-up of the gyrocompass unit to reduce an initial alignment time of the gyrocompass unit.
CPC Classifications
G01C 21/16 G06N 20/00
Filing Date
2024-10-01
Application No.
18903961
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