PERIODIC PARAMETER ESTIMATION FOR VISUAL-INERTIAL TRACKING SYSTEMS

    公开(公告)号:US20230205311A1

    公开(公告)日:2023-06-29

    申请号:US18116511

    申请日:2023-03-02

    Applicant: Snap Inc.

    CPC classification number: G06F3/012 G06F3/038 H04L67/131 G06F2203/0383

    Abstract: A method for calibrating a visual-inertial tracking system is described. A device operates the visual-inertial tracking system without receiving a tracking request from a virtual object display application. In response to operating the visual-inertial tracking system, the device accesses sensor data from sensors at the device. The device identifies, based on the sensor data, a first calibration parameter value of the visual-inertial tracking system and stores the first calibration parameter value. The system detects a tracking request from the virtual object display application. In response to the tracking request, the system accesses the first calibration parameter value and determines a second calibration parameter value from the first calibration parameter value.

    PERIODIC PARAMETER ESTIMATION FOR VISUAL-INERTIAL TRACKING SYSTEMS

    公开(公告)号:US20250093948A1

    公开(公告)日:2025-03-20

    申请号:US18970124

    申请日:2024-12-05

    Applicant: Snap Inc.

    Abstract: A method for calibrating a visual-inertial tracking system is described. A device operates the visual-inertial tracking system without receiving a tracking request from a virtual object display application. In response to operating the visual-inertial tracking system, the device accesses sensor data from sensors at the device. The device identifies, based on the sensor data, a first calibration parameter value of the visual-inertial tracking system and stores the first calibration parameter value. The system detects a tracking request from the virtual object display application. In response to the tracking request, the system accesses the first calibration parameter value and determines a second calibration parameter value from the first calibration parameter value.

    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.

    INTRINSIC PARAMETERS ESTIMATION IN VISUAL TRACKING SYSTEMS

    公开(公告)号:US20220375128A1

    公开(公告)日:2022-11-24

    申请号:US17448655

    申请日:2021-09-23

    Applicant: Snap Inc.

    Abstract: A method for adjusting camera intrinsic parameters of a multi-camera visual tracking device is described. In one aspect, a method for calibrating the multi-camera visual tracking system includes disabling a first camera of the multi-camera visual tracking system while a second camera of the multi-camera visual tracking system is enabled, detecting a first set of features in a first image generated by the first camera after detecting that the temperature of the first camera is within the threshold of the factory calibration temperature of the first camera, and accessing and correcting intrinsic parameters of the second camera based on the projection of the first set of features in the second image and a second set of features in the second image.

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