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Neurofuzzy identification of an autonomous underwater vehicle
International Journal of Systems Science, 1999Neurofuzzy modelling is ideally suited to many nonlinear system identification and data modelling applications. By combining the attractive attributes of fuzzy systems and neural networks transparent models of ill-defined systems can be identified. Available expert a priori knowledge is used to construct an initial model. Data modelling techniques from
Kev M. Bossley +2 more
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Navigation Technologies for Autonomous Underwater Vehicles
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 2008With recent advances in battery capacity and the development of hydrogen fuel cells, autonomous underwater vehicles (AUVs) are being used to undertake longer missions that were previously performed by manned or tethered vehicles. As a result, more advanced navigation systems are needed to maintain an accurate position over a larger operational area ...
L. Stutters +3 more
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A Vision System for an Autonomous Underwater Vehicle
[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 1996A vision system for the PISCIS project is described. This is a proposed project for the use of an untethered autonomous underwater vehicle (AUV) for pipeline inspection. The vision system is termed PVS (PISCIS vision system). It will assist the AUV in finding and following the pipeline.
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Design and construction of an autonomous underwater vehicle
Neurocomputing, 2014Autonomous underwater vehicles (AUVs) are becoming increasingly popular for ocean exploration, military and industrial applications. In particular, AUVs are becoming an attractive option for underwater search and survey operations as they are inexpensive compared to manned vehicles.
Khairul Alam +2 more
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An adaptive controller for autonomous underwater vehicles
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015This paper introduces an adaptive tuning method for the controllers of a 4 degrees-of-freedom autonomous underwater vehicle. The proposed scheme consists of two control loops, one for position control and an inner one for velocity control. The gains of the controller are determined on-line, according to the position/velocity errors.
Corina Barbalata +4 more
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Multiple communicating autonomous underwater vehicles
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004This paper addresses the problems associated with missions using multiple cooperating autonomous underwater vehicles. In such missions, inter-vehicle communication is an important requirement upon which coordination strategy and intelligence decision making functions can be built.
Edgar An +5 more
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A simulation environment for Autonomous Underwater Vehicles
OCEANS 2009-EUROPE, 2009This paper gives an overview of the AUVFramework, a simulation environment for the evaluation of concepts regarding AUVs. An infrastructure of functionalities (maps, interface to kinematics, communication between multiple AUVs) supports the development of autonomous control.
Kobialka, Hans-Ulrich, Wunderlich, T.
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Path Planning for Autonomous Underwater Vehicles
IEEE Transactions on Robotics, 2007Efficient path-planning algorithms are a crucial issue for modern autonomous underwater vehicles. Classical path-planning algorithms in artificial intelligence are not designed to deal with wide continuous environments prone to currents. We present a novel Fast Marching (FM)-based approach to address the following issues. First, we develop an algorithm
Clement Petres +5 more
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Autonomous underwater vehicles localisation in mobile underwater networks
International Journal of Sensor Networks, 2017Autonomous underwater vehicles AUVs form mobile underwater networks to conduct underwater surveying missions cooperatively. Due to the severe turbulence caused by water currents, individual AUV has to adjust its heading constantly to ensure reaching destination.
Xiaohui Wei 0002 +4 more
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Autonomous Underwater Vehicle Navigation
IEEE Journal of Oceanic Engineering, 2010This paper considers the vehicle navigation problem for an autonomous underwater vehicle (AUV) with six degrees of freedom. We approach this problem using an error state formulation of the Kalman filter. Integration of the vehicle's high-rate inertial measurement unit's (IMU's) accelerometers and gyros allow time propagation while other sensors provide
Paul A. Miller +3 more
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