Google Inc.

Sazzadur Rahman

Konstantine Nicholas John Tsotsos

Ivo Duarte

José Carlos Maranhão Pascoal

Nuno Cruces

João Manuel De Castro Afonso

Chao X Guo

Luca Ballan

Fei Han

Junyang Lu

Systems and techniques for persistent calibration of an electronic device configured to implement an extended reality (XR) system involve estimating and validating visual-inertial odometry (VIO) calibration parameters during an active XR session of the electronic device. Validating the estimated VIO calibration parameters involves performing a strict calibration qualification of the estimated VIO calibration parameters using a thresholding module, machine learning module, or both. An initial calibration qualification is performed concurrently with the strict calibration qualification based on VIO performance. If the estimated VIO calibration parameters pass the strict calibration qualification and initial calibration qualification, they are stored for use to calibrate the device in future XR sessions. Persistent calibration of time alignment between the inertial management unit and the image sensor of the electronic device is also performed during active XR sessions upon detection of time alignment issues.

Persistent calibration of extended reality systems

A split-architecture for rendering and warping world-locked AR elements, such as graphics in a navigation application, for display on augmented reality (AR) glasses is disclosed. The split-architecture can help to alleviate a resource burden on the AR glasses by performing the more complex processes associated with the rendering and warping on a computing device, while performing the less complex processes associated with the rendering and warping on the AR glasses. The AR glasses and the computing device are coupled via wireless communication, and the disclosed systems and methods address the large and variable latencies associated with the wireless communication that could otherwise make splitting these processes impractical.

Augmented reality using a split architecture

A method includes projecting an augmented reality (AR) user interface (UI) at a first position on a surface of a head-mounted display (HMD) device through which a view of a real-world scene is seen by a viewer, and detecting a motion of the HMD device corresponding to a head motion of the viewer. The method further includes, in response to the motion of the HMD device, moving the projected AR UI across the surface of the HMD device to a second position, the movement of the projected AR UI spatially and or temporally lagging the head motion.

Eye image stabilized augmented reality displays

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San Jose, CA, United States of America

Sazzadur Rahman