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In the application described here, an autonomous marine vehicle (AMV) is equipped with a 3D seismic sensor array (3DSA). The 3DSA consists of 15 hydrophones mounted on cubic frame of about 1 m in size. Various field tests and commercial projects have been conducted using autonomous vehicles as platforms, each towing a 3DSA. Often, these have been deployed during ongoing traditional seismic surveys,...
The development of revolutionary tools such as AUVs and other unmanned vehicles has offered oceanographers a chance to explore areas that are not easily accessible and address questions that have yet to be answered. The ability of unmanned vehicles to reach these under-sampled parts of the ocean is motivating researchers to install, equip, and attach as many sensors as possible to obtain measurements...
The authors present a series of sea trails with autonomous systems using a long-range communication network. The continuous monitoring of the oceans and realtime data gathering/monitoring is a key issue in future marine challenges. To have long range communication, between land and ships at tens of kilometers', the authors used the BlueCom+ project research trials and tested their robotic systems...
We present an intelligent autonomous underwater vehicle (AUV) in-situ sensing system with real-time, on-board, resource-aware adaptive planning, control and sampling not currently available by traditional sampling methods of ship point sampling, moorings, profilers, gliders or AUVs which lack realtime responses, on-board analysis and system-wide reasoning.
This paper describes the PISCES system, an integrated approach for fully autonomous mapping of large areas of the ocean in deep waters. A deep water AUV will use an acoustic navigation system to compute is position with bounded error. The range limitation will be overcome by a moving baseline scheme, with the acoustic sources installed in robotic surface vessels with previously combined trajectories...
While low Dissolved Oxygen (DO) concentrations are not uncommon in the coastal ocean, what is less understood is how the location and size of these low DO regions vary and what impact that variability has on ecosystem health. Therefore, alternative sampling strategies are needed to continuously map these low DO areas in a way that quantifies this variability. This project applies a series of Autonomous...
Underwater mobile sensor node localization is a key enabling technology for several subsea missions. A novel scalable underwater localization scheme, called Best Suitable Localization Algorithm (BLSA), is proposed to dynamically fuse multiple position estimates of sensor nodes using fuzzy logic, aiming at improving localization accuracy and availability along the whole trajectory in missions. Numerical...
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