Invention Grant
- Patent Title: Modeling poses of tracked objects by predicting sensor data
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Application No.: US16291228Application Date: 2019-03-04
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Publication No.: US11624757B2Publication Date: 2023-04-11
- Inventor: Boyang Zhang , Joel Amado Hesch
- Applicant: Meta Platforms, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Meta Platforms, Inc.
- Current Assignee: Meta Platforms, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G01P15/00
- IPC: G01P15/00 ; G01C19/00 ; G06N5/02

Abstract:
A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.
Public/Granted literature
- US20200284820A1 MODELING POSES OF TRACKED OBJECTS BY PREDICTING SENSOR DATA Public/Granted day:2020-09-10
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