SYSTEMS AND METHODS FOR DEEP LEARNING-BASED PEDESTRIAN DEAD RECKONING FOR EXTEROCEPTIVE SENSOR-ENABLED DEVICES

Systems are provided for estimating 6DOF positioning of a computing device while in a pedestrian dead reckoning mode. The systems obtain a set of inertial tracking data from the set of one or more inertial tracking components while the system is in a pedestrian dead reckoning mode. Then, the systems...

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Bibliographic Details
Main Authors PRICE, Raymond Kirk, LEVINE, Evan Gregory
Format Patent
LanguageEnglish
French
German
Published 07.08.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Systems are provided for estimating 6DOF positioning of a computing device while in a pedestrian dead reckoning mode. The systems obtain a set of inertial tracking data from the set of one or more inertial tracking components while the system is in a pedestrian dead reckoning mode. Then, the systems obtain an estimated 3DOF velocity of the system based inertial tracking data, using a predictive model trained on a set of observed exteroceptive sensor data and observed inertial tracking data. The systems also obtain estimated 6DOF positioning of the systems based on the estimated 3DOF velocity.
Bibliography:Application Number: EP20210707577