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Sungil Byun and Dongik Lee
This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, search...
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Lin Zhang, Yanbin Gao and Lianwu Guan
For seabed mapping, the prevalence of autonomous underwater vehicles (AUVs) employing side-scan sonar (SSS) necessitates robust navigation solutions. However, the positioning errors of traditional strapdown inertial navigation system (SINS) and Doppler v...
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Jia Wang, Tianyi Tao, Daohua Lu, Zhibin Wang and Rongtao Wang
The onboard energy supply of Autonomous Underwater Vehicles (AUVs) is one of the main limiting factors for their development. The existing methods of deploying and retrieving AUVs from mother ships consume a significant amount of energy during submerging...
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Zhengwei Wang, Haitao Gu, Jichao Lang and Lin Xing
This study verifies the effects of deployment parameters on the safe separation of Autonomous Underwater Vehicles (AUVs) and mission payloads. The initial separation phase is meticulously modeled based on computational fluid dynamics (CFD) simulations em...
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Yuexing Zhang, Yiping Li, Shuo Li, Junbao Zeng, Yiqun Wang and Shuxue Yan
This paper proposes a centralized MTT method based on a state-of-the-art multi-sensor labeled multi-Bernoulli (LMB) filter in underwater multi-static networks with autonomous underwater vehicles (AUVs). The LMB filter can accurately extract the number of...
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Maricruz Fun Sang Cepeda, Marcos de Souza Freitas Machado, Fabrício Hudson Sousa Barbosa, Douglas Santana Souza Moreira, Maria José Legaz Almansa, Marcelo Igor Lourenço de Souza and Jean-David Caprace
Operators of offshore production units (OPUs) employ risk-based assessment (RBA) techniques in order to minimise inspection expenses while maintaining risks at an acceptable level. However, when human divers and workers are involved in inspections conduc...
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Qiao Zhang, Chunming Dong, Zongze Shao and Donghui Zhou
The growing need for deep-sea biological research and environmental monitoring has expanded the demand for benthic landers. Compared with remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs), benthic landers can reduce overall oper...
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Jiqing Du, Dan Zhou and Sachiyo Arai
This study introduces a hybrid control structure called Improved Interfered Fluid Dynamic System Nonlinear Model Predictive Control (IIFDS-NMPC) for the path planning and trajectory tracking of autonomous underwater vehicles (AUVs). The system consists o...
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Moon Hwan Kim, Teasuk Yoo, Seok Joon Park and Kyungwon Oh
Autonomous Underwater Vehicles (AUVs) have emerged as pivotal tools for intricate underwater missions, spanning seafloor exploration to meticulous inspection of subsea infrastructures such as pipelines and cables. Although terrestrial obstacle avoidance ...
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Mingyao Zhang, Zheping Yan, Jiajia Zhou and Lidong Yue
This paper focuses on the collision-free formation tracking of autonomous underwater vehicles (AUVs) with compound disturbances in complex ocean environments. We propose a novel finite-time extended state observer (FTESO)-based distributed dual closed-lo...
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