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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| 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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