Topic
Intervention AUV
About: Intervention AUV is a research topic. Over the lifetime, 980 publications have been published within this topic receiving 14130 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: The main challenges faced when designing reliable underwater navigation systems are presented, and a framework for detecting and isolating sensor faults using a bank of Kalman filters and innovation testing is outlined.
5 citations
01 Jun 1985
TL;DR: In this article, a knowledge-based data assessment strategy for the data available to an autonomous underwater vehicle is discussed, which is the key to extracting, from system sensors, the relevant information needed for the completely autonomous planning, guidance, and control of Eave-East, the untethered, test-bed submersible at the Marine Systems Engineering Laboratory at the University of New Hampshire.
Abstract: High quality data assessment is an important aspect of any "human-like" planning process. A knowledge-based data assessment strategy for the data available to an autonomous underwater vehicle is discussed here. This system will be the key to extracting, from system sensors, the relevant information needed for the completely autonomous planning, guidance, and control of Eave-East, the untethered, test-bed submersible at the Marine Systems Engineering Laboratory at the University of New Hampshire.
5 citations
Journal Article•
TL;DR: The state-of-the-art development of the foreign unmanned submersibles is summarized in this article, including the up-to-date sea trial of HROVKAIKO ROV, ROV take AUV for working together, modularize, intellectualized and commercial AUV (autonomous vehicle), and the news of Glider underwater.
Abstract: The state-of-the-art development of the foreign unmanned submersibles is summarized, including the up-to-date sea trial of HROVKAIKO ROV, ROV take AUV for working together, modularize, intellectualized and commercial AUV (autonomous vehicle), and the news of Glider underwater.
5 citations
01 Jan 2017
TL;DR: In this article, an adaptive underwater vehicle (AUV) navigation method adaptive to the various seafloor environment using reinforcement learning in which AUV learns how to move by itself online and test the algorism in a simulation.
Abstract: In order to get highly detailed information of seafloor with low-cost, the authors have been developing high speed autonomous underwater vehicle (AUV) using low cost scanning sonar. It is difficult to design the AUV navigation system functioning properly in various seafloor environment because the sonar echo levels from the seafloor are relatively weak and differ with the survey area. In this study, the authors propose the AUV navigation method adaptive to the various seafloor environment using reinforcement learning in which AUV learns how to move by itself online and test the algorism in a simulation.
5 citations
19 Jun 1991
TL;DR: In this paper, a cableless underwater vehicle (AUV) for inspection of offshore pipelines is described, and the current work is concentrated on building a vehicle, a high level control system, and a low cost pipeline tracking system.
Abstract: A project on the use of a cableless autonomous underwater vehicle (AUV) for inspection of offshore pipelines is described. The current work is concentrated on building a vehicle, a high level control system, and a low cost pipeline tracking system. The background, the object, and the status of the project are given. The high level control system, the vision based pipeline tracking system, and the low level vehicle controller are described in some detail. >
5 citations