A Geo-consistent Weather Augmentation Method for Improving UAV Localization Robustness under Adverse Meteorological Conditions
Journal of Intelligent & Robotic Systems
Editorial summary
This early-access journal article studies weather augmentation that preserves building geometry when generating fog, snow and night imagery. Verification filters reject unsuitable transformations before training visual-localisation models. Evaluation uses generated weather domains; validation in real weather and on embedded hardware remains necessary.
Bibliographic reference
Use the publisher’s record for the citation format required by your journal or organisation.
Volodymyr Vozniak, Oleksander Barmak, Pavlo Radiuk, Iurii Krak. "A Geo-consistent Weather Augmentation Method for Improving UAV Localization Robustness under Adverse Meteorological Conditions". Journal of Intelligent & Robotic Systems, 2026. https://doi.org/10.1007/s10846-026-02454-1
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