@inproceedings{c1a0195d69dd4db7aecd42fb7f4763fa,
title = "Neural network based data filtering for position tracking of an underwater vehicle",
abstract = "As a side effect of the developments in the mobile robotics, navigational technology has gained a leap recently. Although the most popular navigational aid for trajectory tracking is the Global Positioning System (GPS), it has also some disadvantages. Therefore attentions are drawn to other navigational devices such as Inertial Navigation Systems. Taking the underwater implementations of vehicle navigation into account, INS becomes a necessity due to communicational problems between the GPS and the satellites. On underwater vehicles Inertial Navigation Systems consisting of Inertial Measurement Units (IMU) such as accelerometers and gyros are used combined with other navigational devices like GPS or sonar. The error of the IMU output makes it necessary to be accompanied by an additional device. In this paper a neural network based filtering system is introduced that is planned to be used for the trajectory tracking of an underwater vehicle.",
keywords = "Acceleration data, Backpropagation, Filtering, Inertial navigation, INS, Piecewise neural networks, Position estimation, Radial basis",
author = "Altunkaya, {M. Ufuk} and Serhat Ikizoǧlu and Fikret G{\"u}rgen",
year = "2006",
language = "English",
isbn = "9728865619",
series = "ICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings",
pages = "197--200",
booktitle = "ICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings",
note = "3rd International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006 ; Conference date: 01-08-2006 Through 05-08-2006",
}