Verizon Patent and Licensing Inc.

Chad Hammond

Derek Wade Ohlarik

Rejaul Monir

Ashley A Vogt

Mithu Datta

Thomas M Baker, Jr

Randall Paul Carver

A device may receive images identifying interiors of buildings and movable objects and unmovable objects located in the interiors, and may train a machine learning model with the images to generate a trained machine learning model. The device may receive an image identifying an interior portion of a building and objects located in the interior portion, and may process the image, with the trained machine learning model, to identify a movable object and an unmovable object. The device may disregard the movable object to generate an image in which data identifying the movable object has been disregarded, and may process the image in which the data identifying the movable object has been disregarded, with a visual positioning system, to determine a location of the user device in the interior portion of the building. The device may perform one or more actions based on the location of the user device.

Systems and methods for aiding a visual positioning system with indoor wayfinding

A device may receive three-dimensional geographical map data for a geographical region associated with a vehicle device of a vehicle and may process the three-dimensional geographical map data, with a data model, to transform the three-dimensional geographical map data into transformed geographical map data with a format that corresponds to a particular standard. The device may generate a message based on the transformed geographical map data and may cause the message to be provided to the vehicle device. The device may perform one or more actions based on the message.

Systems and methods for transforming high-definition geographical map data into messages for vehicle communications

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Denver, CO, United States of America

Chad Hammond