A Gated Recurrent Unit-Based Particle Filter for Unmanned Underwater Vehicle State Estimation-Reference-Cited by-同舟云学术

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A Gated Recurrent Unit-Based Particle Filter for Unmanned Underwater Vehicle State Estimation

Published:2021 Issue: Volume:70 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lin Changjian^ORCID,Wang Hongjian^ORCID,Fu Mingyu^ORCID,Yuan Jianya^ORCID,Gu Jason^ORCID

Funder

Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9259274/09146931.pdf?arnumber=9146931

Cited by 26 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

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

3. Swing Trend Prediction of Main Guide Bearing in Hydropower Units Based on MFS-DCGNN;Sensors;2024-05-31

4. Zonotopic Kalman Filter-Based Velocity Estimation for Autonomous Underwater Vehicles;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

5. State estimation of buses: A hybrid algorithm of deep neural network and unscented Kalman filter considering mass identification;Mechanical Systems and Signal Processing;2024-05

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