Table 2.
Comparative analysis of deep learning-based underwater SLAM techniques.
| Algorithm | Feature Extraction Quality | Temporal Modeling Accuracy | Data Augmentation Efficiency | Pose Estimation Precision | Mapping Accuracy |
|---|---|---|---|---|---|
| DeepVO | High | High | Moderate | High | High |
| PoseNet | High | High | Low | High | Moderate |
| DVL-SLAM | Moderate | Moderate | Low | Moderate | Moderate |
| SuperPoint | High | N/A | N/A | High | High |
| DeepMatcher | High | N/A | N/A | High | High |
| GAN-SLAM | High | N/A | High | High | High |
| VPF SLAM | Moderate | N/A | High | Moderate | High |
| RTAB-Map | High | High | Moderate | High | High |
| D.S.O. | High | High | Moderate | High | High |
| ORB-SLAM2 | High | High | High | High | High |
| LOAM | High | High | Moderate | High | High |