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    This study introduces an augmented reality binocular system for stable, high-precision augmentation of telescopic views with synthetic elements. The system ensures jitter-free overlay of virtual objects in real-time for enhanced observation and training.

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    Area of Science:

    • Computer Vision
    • Augmented Reality
    • Robotics

    Background:

    • Telescopic imagery often lacks contextual information.
    • Overlaying synthetic objects requires precise, stable registration with live views.
    • Existing systems may suffer from jitter and drift, hindering usability.

    Purpose of the Study:

    • To develop an augmented reality binocular system for precise, stable augmentation of telescopic imagery.
    • To enable real-time overlay of synthetic objects (vehicles, people, effects) onto live telescopic views.
    • To achieve jitter-free and robust pose estimation for augmented reality applications.

    Main Methods:

    • Utilized a dual-camera system (wide and narrow field-of-view) within a binocular shell.
    • Integrated an inertial measurement unit (IMU) and global positioning system (GPS).
    • Implemented an extended Kalman filter for sensor fusion and pose estimation.

    Main Results:

    • Achieved stable, jitter-free augmentation of live telescopic imagery.
    • Demonstrated robust real-time pose estimation for precise object placement.
    • Successfully integrated synthetic objects like aircraft and vehicles into real-world scenes.

    Conclusions:

    • The developed augmented reality binocular system offers high-precision, stable augmentation capabilities.
    • The system is suitable for applications in information sharing and simulated training.
    • The navigation algorithm provides robust, real-time pose estimation for augmented reality.