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ABiLSTM Based Prediction Model for AUV Trajectory.
- Source :
- Journal of Marine Science & Engineering; Jul2023, Vol. 11 Issue 7, p1295, 19p
- Publication Year :
- 2023
-
Abstract
- On 25 July 2021, the AUV of the Marine Science and Technology Research Center was lost under the sea due to a fracture of the wire rope when it was performing a mission offshore of China. A model is presented in the paper for predicting the trajectory of a lost AUV based on ABiLSTM. To increase the precision of model prediction, the model incorporates the soft attention mechanism and is based on the bidirectional Long Short-Term Memory (BiLSTM) network. In comparison to LSTM, BiLSTM, and attention-LSTM models, experiments have demonstrated that the proposed model enhanced prediction accuracy in terms of longitude, latitude, and altitude by 0.009° E, 0.008° N, and 2 m using representative root mean squared error as an assessment indicator. The findings of the study can improve marine rescue efforts and aid in the search and recovery of AUVs that have crashed. [ABSTRACT FROM AUTHOR]
- Subjects :
- PREDICTION models
STANDARD deviations
MARINE engineering
WIRE rope
Subjects
Details
- Language :
- English
- ISSN :
- 20771312
- Volume :
- 11
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Journal of Marine Science & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 169330203
- Full Text :
- https://doi.org/10.3390/jmse11071295