Visual-Based Position Estimation for Underwater Vehicles Using Tightly Coupled Hybrid Constrained Approach
A tightly coupled hybrid monocular visual SLAM system for unmanned underwater vehicles (UUVs) is introduced in this paper. Specifically, we propose a robust three-step hybrid tracking strategy. The feature-based method initially provides a rough pose estimate, then the direct method refines it, and...
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| Main Authors: | Tiedong Zhang, Shuoshuo Ding, Xun Yan, Yanze Lu, Dapeng Jiang, Xinjie Qiu, Yu Lu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/7/1216 |
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