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Related Experiment Video

Updated: Oct 29, 2025

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MGG: Monocular Global Geolocation for Outdoor Long-Range Targets.

Feng Gao, Fang Deng, Linhan Li

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 7, 2021
    PubMed
    Summary

    This study introduces MGG, a novel monocular global geolocation method for outdoor long-range target localization using a single RGB image. The method achieves superior GPS accuracy for targets up to 150 meters away, overcoming limitations of traditional vision localization.

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    Area of Science:

    • Computer Vision
    • Robotics
    • Geospatial Analysis

    Background:

    • Traditional monocular vision localization is limited to short-range and indoor relative positioning.
    • Accurate global geolocation of long-range outdoor targets using monocular vision remains a significant challenge.

    Purpose of the Study:

    • To present MGG, a novel monocular global geolocation method for outdoor long-range targets.
    • To output precise GPS information for targets using a single RGB image and navigation parameters.
    • To demonstrate the method's superiority over existing techniques in challenging outdoor environments.

    Main Methods:

    • Camera pose correction via pixel mapping.
    • Anchor-based methods for improved detection of small, long-range targets.
    • Local Monocular Vision Model (LMVM) with local structure coefficient for 2D-to-3D mapping.
    • Soft Correspondence Constraint (SCC) to decouple detection and localization.
    • Optimization theory and coordinate transformations for final geolocation.

    Main Results:

    • MGG successfully provides GPS information for outdoor targets up to 150 meters away.
    • The method demonstrates superior performance on the KITTI dataset.
    • Focal length's critical role in mitigating error explosion for long-range monocular localization is highlighted.

    Conclusions:

    • MGG offers a robust solution for monocular global geolocation of long-range outdoor targets.
    • The proposed techniques effectively address challenges in detecting and localizing distant objects.
    • This work advances the capabilities of vision-based navigation and positioning systems.