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Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning. [PDF]
Liao X, Li L, Huang C, Zhao X, Tan S.
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Physics-Informed Side-Scan Sonar Perception: Tackling Weak Targets and Sparse Debris via Geometric and Frequency Decoupling. [PDF]
Yu B, Lin R, Zhou H, Zhang J, Zhang X.
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Investigation of the resistance characteristics of a multi-AUV system
Applied Ocean Research, 2019Abstract The multiple autonomous underwater vehicles (AUV) sailing in a specific configuration can reduce resistance if properly using the hydrodynamic interactions. This paper investigated the resistance characteristics of a multi-AUV system with both experimental and numerical approaches.
Dong Zhang, Guang Pan, Yao Shi
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Stabilization of multi-AUV formation with digital control
2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016Formation stability problem for a team of autonomous underwater vehicles (AUV) with digital control is investigated. A leader-follower formation control algorithm for multi-AUV system is proposed. Feedback control signal for the follower, which is piecewise constant, is computed on the basis of discrete measurements of the distance and the bearing ...
S. A. Ul'yanov, N. N. Maximkin
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Multi-AUV based cooperative observations
2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578), 2004In this paper, we propose a wired multi-AUV system and applications. AUVs are interconnected by a smart cable that contains fiber optics 3D positioning sensors. This cable connection enable to localization and communication of AUVs. Using this cable, we propose a hand-in-hand system (HS) for AUV localization and development to accomplish the given task.
null Son-Cheol Yu, T. Ura, N. Yoshiaki
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Passive Localization for Multi-AUVs by Using Acoustic Signals
Proceedings of the International Conference on Underwater Networks & Systems, 2019In order to maintain a desired formation of multiple autonomous underwater vehicles (multi-AUVs), one important task is to localize all AUVs. This paper addresses a passive localization method which uses the acoustic signals from the support ship and their own.
Kai Zheng, Yi Jiang 0006, Yongjun Li
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Multi AUVs Cooperative Navigation Based on Cross Entropy
2018 International Conference on Control, Automation and Information Sciences (ICCAIS), 2018Cooperative navigation can support the wide range navigation and positioning service for Autonomous underwater vehicles (AUVs), improving the positioning accuracy of the AUVs at the same time. In this paper, the Cross Entropy (CE) algorithm is applied to cooperative navigation system, in order to solve the problem of the path planning of the master AUV,
Lichuan Zhang +3 more
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Multi-AUV coordination in the underwater environment with obstacles
OCEANS'10 IEEE SYDNEY, 2010A concept of extended formation which is derived by combining the destination and obstacles in the underwater environment as elements into the traditional formation of AUVs is proposed. In extended formation, an improved potential-field-based approach is introduced to coordinate multiple autonomous underwater vehicles (AUVs).
Y. Yang, S. X. Wang, Z. L. Wu
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Multi-AUV Coverage with Functional Constraints and Currents
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043), 2020Many underwater survey applications such as bathymetry archaeological, mine-counter-measure surveys, etc., can be efficiently performed using autonomous underwater vehicles (AUVs). In all the mentioned survey applications, a region of interest needs to be covered using some sensors. Low cost AUVs have shown promise to perform these applications quickly
Sandeep Banik +2 more
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Multi-AUVs for Visual Mapping Tasks
2008The present paper describes a system for the construction of visual maps (“mosaics”) and motion estimation for a set of AUVs (Autonomous Undersea Vehicle). Robots are equipped with down-looking camera which are used to estimate their motion with respect to the seafloor and to built real-time mosaic. As the mosaic increases in size, a systematic bias is
Silvia S. C. Botelho +4 more
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