Enhancing VINS with Smart Feature Grading: Overcoming Cautious and Excessive Removal of Dynamic Features for Robust Urban Localization

Enhancing VINS with Smart Feature Grading: Overcoming Cautious and Excessive Removal of Dynamic Features for Robust Urban Localization

Visual-inertial navigation systems (VINS) have emerged as a popular and effective solution for autonomous navigation due to their accuracy, real-time capabilities, and cost-effectiveness. However, while traditional VINS methods excel in static environments with well-distributed features, they strugg...

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Bibliographic Details
Main Authors: M. Adham, W. Chen, A. Mansour, M. Mahmoud, Y. Li
Format: Article
Language:English
Published: Copernicus Publications 2025-07-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/47/2025/isprs-archives-XLVIII-G-2025-47-2025.pdf
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