Results 111 to 120 of about 3,292 (159)
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Avoidance of underwater cliffs for autonomous underwater vehicles
IEEE/RSJ International Conference on Intelligent Robots and System, 2003This paper introduces a method aiming to allow underactuated autonomous underwater vehicles navigating in an unknown environment to avoid underwater cliffs. Three electro-acoustic transducers situated in the front part of the vehicle provide bathymetric data.
Creuze, Vincent, Jouvencel, Bruno
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An autonomous underwater vehicle for competition
2012 First National Conference for Engineering Sciences (FNCES 2012), 2012The research of this paper was derived from the small autonomous underwater vehicle (AUV)Raider well performed in the 15th International Underwater Vehicle Competition (IAUVC),San Diego. In order to improve the performance of underwater vehicle, the control system of performance motion played an important role on autonomous underwater vehicles stable ...
Hai Tian +4 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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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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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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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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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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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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