Drift correction for industrial augmented reality applications

This application relates to a method for updating node locations in a real-world, mapped environment, the method comprising: tracking locations of a mobile device as a user of the mobile device moves through the mapped environment, capturing, by a camera of the mobile device, images of the mapped en...

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Bibliographic Details
Main Authors James Aaron Crews, Joshua Sanders Friesenhahn, Trevor Duncan Schleiss
Format Patent
LanguageEnglish
Published 16.11.2022
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:This application relates to a method for updating node locations in a real-world, mapped environment, the method comprising: tracking locations of a mobile device as a user of the mobile device moves through the mapped environment, capturing, by a camera of the mobile device, images of the mapped environment as the user moves through the mapped environment, identifying a specific object within a field of view of the camera, wherein identifying the specific object includes predicting, by a machine learning (ML) model processing one or more of the captured images, an object type, and identifying a node, within a map database representing the mapped environment, that corresponds to the object type and using a tracked location of the mobile device to update or confirm a location of the node stored in the map database.
Bibliography:Application Number: GB20220009129