FIELD CALIBRATION OF AN AUGMENTED REALITY DEVICE

    公开(公告)号:US20250109966A1

    公开(公告)日:2025-04-03

    申请号:US18477297

    申请日:2023-09-28

    Applicant: Snap Inc.

    Abstract: A method for recalibrating an augmented reality (AR) device includes generating and storing a ground truth map of a real-world environment when the AR device is operating with a high likelihood of having an accurate factory calibration. During operation of the AR device, new map data is generated for the real-world environment. The new map data is compared to the ground truth map to detect potential calibration errors. If calibration errors are detected, a recalibration procedure is executed by determining an optimal path through the real-world environment that allows for observing parameters requiring recalibration. Visual cues are generated to guide a user of the AR device through the optimal path. As the user follows the visual cues, calibration parameters are iteratively adjusted to eliminate detected calibration errors. The recalibration procedure may be presented as an interactive game to improve user engagement, with rewards provided for accurately following guidance.

    Bending-assisted calibration for extended reality tracking

    公开(公告)号:US12271517B1

    公开(公告)日:2025-04-08

    申请号:US18478352

    申请日:2023-09-29

    Applicant: Snap Inc.

    Abstract: Bending data is used to facilitate tracking operations of an extended reality (XR) device, such as hand tracking or other object tracking operations. The XR device obtains bending data indicative of bending of the XR device to accommodate a body part of a user wearing the XR device. The XR device determines, based on the bending data, whether to use previously identified biometric data in a tracking operation. A mode of the XR device is selected responsive to determining whether to use the previously identified biometric data. The selected mode is used to initialize the tracking operation. The selected mode may be a first mode in which the previously identified biometric data is used in the tracking operation or a second mode in which the previously identified biometric data is not used in the tracking operation.

    EYEWEAR WITH INTER-PUPILLARY DISTANCE ESTIMATION

    公开(公告)号:US20240341591A1

    公开(公告)日:2024-10-17

    申请号:US18133870

    申请日:2023-04-12

    Applicant: Snap Inc.

    CPC classification number: A61B3/111

    Abstract: An eyewear device including a sensor used to measure deformation of an eyewear frame to estimate an inter-pupillary distance (IPD) of an eyewear user. The sensor is used to determine head breadth (HB) of the user and to estimate the IPD of the user. A processor displays an image on a display of the eyewear as a function of the estimated IPD to improve virtual object rendering for an improved augmented reality (AR) viewing experience while reducing vergence accommodation mismatch (VAM). User profile data, such as age and gender, can be used to generate a more accurate estimated IPD of the user.

    JOINT BENDING ESTIMATION
    6.
    发明公开

    公开(公告)号:US20240280355A1

    公开(公告)日:2024-08-22

    申请号:US18172874

    申请日:2023-02-22

    Applicant: Snap Inc.

    Abstract: A system for correcting for frame bending of an augmented reality system is provided. A combination of strain gauges and visual inertial odometry is used to determine strains in the frame. An initial model between strain gauge measurements and actual frame spatial relationships is based on finite element analysis or calibration. During an initial visual inertial odometry data calculation phase, the augmented reality system calculates bending or strains of the frame using strain data from the strain gauges mounted to the frame. Subsequent visual inertial odometry data calculations are used to generate a corrected frame model of the frame. The corrected frame model is used for calculating corrected tracking data and corrected virtual overlays that are used to generate virtual overlays used in an AR experience provided by the augmented reality system.

    LONG TERM IN-FIELD IMU TEMPERATURE CALIBRATION

    公开(公告)号:US20240192024A1

    公开(公告)日:2024-06-13

    申请号:US18063450

    申请日:2022-12-08

    Applicant: Snap Inc.

    CPC classification number: G01C25/005 G01C21/1656 G06F3/012

    Abstract: A method for calibrating a visual-inertial tracking system is described. In one aspect, a method includes measuring a temperature of an inertial measurement unit (IMU) of a visual-inertial tracking system, identifying, from an IMU parametric model of an IMU calibration module, an IMU intrinsic parameter estimate corresponding to the temperature, determining an online IMU intrinsic parameter estimate by operating the visual-inertial tracking system with the IMU intrinsic parameter estimate, providing the online IMU intrinsic parameter estimate to the IMU calibration module, and updating and incorporating the IMU parametric model with the online IMU intrinsic parameter estimate.

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