Research Article
Research on UUV Obstacle Avoiding Method Based on Recurrent Neural Networks
Table 3
The reasons for failure of obstacle avoidance planning in statistical experiment.
| False alarm rate (%) | Reason | CW-RNN96 | CW-RNN180 | LSTM18 | LSTM45 |
| 5 | Collision (%) | 2 | 1 | 0 | 0 | Disorientation (%) | 5 | 2 | 1 | 0 | Non-arrival (%) | 5 | 3 | 6 | 1 |
| 10 | Collision (%) | 3 | 2 | 0 | 0 | Disorientation (%) | 6 | 3 | 0 | 0 | Non-arrival (%) | 5 | 2 | 6 | 2 |
| 15 | Collision (%) | 5 | 4 | 0 | 0 | Disorientation (%) | 9 | 5 | 2 | 0 | Non-arrival (%) | 6 | 4 | 6 | 2 |
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