ARTIFICIAL INTELLIGENCE AIDING FOR GYROCOMPASSING

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