Hierarchical loop closure detection for long-term visual SLAM with semantic-geometric descriptors
Modern visual Simultaneous Localization and Mapping (SLAM) systems rely on loop closure detection methods for correcting drifts in maps and poses. Existing loop closure detection methods mainly employ conventional feature descriptors to create vocabulary for describing places using bag-of-words (BOW...
Main Authors: | , , , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/178587 |