Table 2
Vision-based navigation and positioning.
| Technology | Type | Advantages | Limitations |
|---|---|---|---|
| Monocular SLAM [45] | Visual-based | Lightweight, lower cost, works in shallow depths | Less accurate depth estimation, struggles in low light |
| Stereo SLAM [46] | Visual-based | Provides depth perception, more accurate mapping | Requires more computational power, sensitive to lighting conditions |
| Structure from Motion (SfM) [47] | Visual-based | Generates 3D maps from 2D images, useful for complex environments | Requires good quality visual data, computationally intensive |
| Deep Learning-Based Vision[48] | Visual-based | Automates damage detection, high accuracy | Requires large datasets, high computational cost |
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