Results 121 to 130 of about 12,135 (235)

Improving rare-class detection in deep-sea imagery via generative augmentation with stable diffusion. [PDF]

Sci Rep
Deng J, Duan M, Wei D, Song W, He X, Xia J.   +5 more
europepmc   +1 more source

Cooperative Coverage Control for Heterogeneous AUVs Based on Control Barrier Functions and Consensus Theory. [PDF]

Sensors (Basel)
Mao F, Zhang D, Xu L, Wang R.
europepmc   +1 more source

Research on Multi-AUV system for Deep-Sea Hydrothermal Exploration

, 2009
This paper proposes a new method using multiple autonomous underwater vehicles (multi-AUV) in deep-sea hydrothermal exploration that will provide a rapid improvement of the quality of collected data.
Kang XD(康小东), Feng XS(封锡盛), Xu HL(徐红丽)   +2 more
core  

Diel and eddy driven changes in microbial gene expression and biogeochemistry in the oceanic chlorophyll maximum. [PDF]

Nat Commun
Peoples LM, Eppley JM, Barone B, Hobson BW, Karl DM, Kieft B, Marin R, Preston CM, Romano AE, Ryan JP, Scholin CA, Wilson ST, Zhang Y, Church MJ, DeLong EF.   +14 more
europepmc   +1 more source

Deep-sea test of 6000m AUV

, 2007
简要介绍6000米AUV的总体结构和主要功能,重点研究AUV深海试验中的无动力下潜试验和载体浮力测量试验,提出三种深海浮力测量方法。根据试验数据,通过调整载体配重,在控制特性不变的情况下,使AUV在水下航行达到能量最优。此方法是一种理论和工程实际相结合的方法 ...
刘健, 李硕, 燕奎臣, 李一平
core  

Ubiquitous sensing of marine activities via the cooperation of autonomous underwater vehicles. [PDF]

Sci Rep
Yan J, Jiang Y, Wang X, Yu J, Yang X, Chen C, Guan X.   +6 more
europepmc   +1 more source

Research of Navigation Technology for Detection AUV

, 2009
自治水下机器人（AUV）作为人类肢体和大脑在水下的延伸，可以在人类无法到达的深度和广度上进行探测、识别和作业，为海洋的开发、水下工程建设和海疆的防卫做出不可替代的贡献。航行控制是当前水下机器人技术领域研究的热点，在很大程度上代表着今后的研究方向。然而AUV作为控制对象具有非线性、大时延、多自由度之间相互耦合及时变的特点，被控对象的数学模型及其工作环境难以准确的描述，甚至有时给定的任务要求AUV负载可变，因而航行控制系统的分析与设计是相当困难的工作。 本论文旨在探讨航行控制技术在AUV中的应用 ...
夏庆锋
core  

Backseat driver architecture to passively follow sperm whales by their voices with an autonomous underwater glider. [PDF]

Sci Rep
Diamant R, Pewzner Y, Gubnitsky G, Gruber DF, Tchernov D, Beguery L, Sitbon J.   +6 more
europepmc   +1 more source

Partially Observable Markov Decision Processes for Fault Management in Autonomous Underwater Vehicles

, 2019
Proposed, is a partially observable Markov decision process (POMDP) model-based schema as the basis of a fault manager system for use by autonomous underwater vehicles (AUV) undergoing long endurance missions with the operator far from the AUV.
Svendsen, Kathleen
core  

Research on AUV Underwater Localization Method Based on an n-Shaped Array. [PDF]

Sensors (Basel)
Han C, Gao M, Shen T, Guo C.
europepmc   +1 more source