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[HTML][HTML] A survey on unmanned underwater vehicles: Challenges, enabling technologies, and future research directions
Unmanned underwater vehicles (UUVs) are becoming increasingly important for a variety of
applications, including ocean exploration, mine detection, and military surveillance. This …
applications, including ocean exploration, mine detection, and military surveillance. This …
[HTML][HTML] BeamsNet: A data-driven approach enhancing Doppler velocity log measurements for autonomous underwater vehicle navigation
Autonomous underwater vehicles (AUV) perform various applications such as seafloor
map** and underwater structure health monitoring. Commonly, an inertial navigation …
map** and underwater structure health monitoring. Commonly, an inertial navigation …
Multiple model AUV navigation methodology with adaptivity and robustness
Abstract Autonomous Underwater Vehicle (AUV) navigation and localization in the complex
and changeable marine environment is crucial and challenging. The inaccurate noise …
and changeable marine environment is crucial and challenging. The inaccurate noise …
An improved particle swarm optimization based on age factor for multi-AUV cooperative planning
J Zhang, X Ning, S Ma - Ocean Engineering, 2023 - Elsevier
Multi-AUV planning of cooperative path represents the intelligence level of AUV formation
system, which has attracted significant attention due to its flexibility and robustness. To …
system, which has attracted significant attention due to its flexibility and robustness. To …
Hybrid feature adaptive fusion network for multivariate time series classification with application in AUV fault detection
Autonomous underwater vehicles (AUVs) acquire large-scale multivariate time series (MTS)
data during navigation, which can be utilised to realise fault diagnosis, condition monitoring …
data during navigation, which can be utilised to realise fault diagnosis, condition monitoring …
[HTML][HTML] Cooperative computing offloading scheme via artificial neural networks for underwater sensor networks
X Liu, X Du, S Zhang, D Han - Applied Sciences, 2023 - mdpi.com
Aiming at the problem of being unable to meet some high computing power, high-precision
applications due to the limited capacity of underwater sensor nodes, and the difficulty of low …
applications due to the limited capacity of underwater sensor nodes, and the difficulty of low …
A data-driven based hybrid multi-branch framework for AUV navigation
Abstract In the Autonomous Underwater Vehicle (AUV) navigation task, aiming at the
problem that traditional state estimation techniques introduce multiple errors affecting the …
problem that traditional state estimation techniques introduce multiple errors affecting the …
Improved salp swarm algorithm for the calibration of the underwater transponder
Traditional transponder calibration methods are deficient in depth estimation. Especially in
the absence of a depth gauge (DG), this method will directly lead to the decline of spatial …
the absence of a depth gauge (DG), this method will directly lead to the decline of spatial …
[HTML][HTML] Data-Driven Cooperative Localization Algorithm for Deep-Sea Landing Vehicles Under Track Slippage
Z Wei, W Guo, Y Lan, B Liu, Y Sun, S Gao - Remote Sensing, 2025 - mdpi.com
The deep-sea landing vehicle (DSLV) swarm exploration system is a novel platform for the
detection of marine mineral resources. A high-precision cooperative localization system with …
detection of marine mineral resources. A high-precision cooperative localization system with …
Outlier-Insensitive Kalman Filtering: Theory and Applications
State estimation of dynamical systems from noisy observations is a fundamental task in
many applications. It is commonly addressed using the linear Kalman filter (KF), whose …
many applications. It is commonly addressed using the linear Kalman filter (KF), whose …