Multi-source information fusion based underground autonomous mapping and localization method
Due to the harsh environment in coal mines underground, mapping methods based on single-source odometry information are prone to issues such as drift, occlusion, and missing semantic features. Existing mainstream localization algorithms applied underground in coal mines often encounter localization...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Industry and Mine Automation
2025-06-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2025030017 |
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