LSTM-based Dead Reckoning Navigation for Autonomous Underwater Vehicles-Reference-Cited by-同舟云学术

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LSTM-based Dead Reckoning Navigation for Autonomous Underwater Vehicles

Published:2020-10-05 Issue: Volume: Page:
ISSN:
Container-title:Global Oceans 2020: Singapore – U.S. Gulf Coast
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Author:

Topini Edoardo,Topini Alberto,Franchi Matteo,Bucci Alessandro,Secciani Nicola,Ridolfi Alessandro,Allotta Benedetto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9388948/9388968/09389379.pdf?arnumber=9389379

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NINT: Neural Inertial Navigation Based on Time Interval Information in Underwater Environments;IEEE Sensors Journal;2024-07-01

2. Development of Hydroacoustic Localization Algorithms for AUV Based on the Error-Corrected WMChan-Taylor Algorithm;Journal of Marine Science and Engineering;2024-06-11

3. DI-EME: Deep Inertial Ego-Motion Estimation for Autonomous Underwater Vehicle;IEEE Sensors Journal;2024-06-01

4. Enhancing Pure Inertial Navigation Accuracy through a Redundant High-Precision Accelerometer-Based Method Utilizing Neural Networks;Sensors;2024-04-17

5. Ship SINS/CNS Integrated Navigation Aided by LSTM Attitude Forecast;Journal of Marine Science and Engineering;2024-02-23

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