Development of autonomous underwater vehicle navigation system based on kalman filtering technique

Mustafa Dinç; Chingiz Hajiyev

Development of autonomous underwater vehicle navigation system based on kalman filtering technique

Mustafa Dinç, Chingiz Hajiyev

Department of Aeronautical Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

The research on underwater systems has gained an immense interest during the last decades with applications taken place in many fields. Therefore, the significant number of underwater vehicles (UVs) has been developed for the solving of wide spectrum of scientific and applied tasks of sea research and development in the world. AUVs require a precise navigation system for localization, positioning, path tracking, guidance, and control during long period of duty cycle. In order to develop an accurate and robust navigation system for an AUV, we need to derive overall modeling of AUV. This article is basically focused on dynamic modeling of high speed Autonomous Underwater Vehicle (AUV) and development of integrated navigation system based on Kalman filtering technique.

Original language	English
Title of host publication	18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings
Editors	D.O. Taranovskiy, Vladimir G. Peshekhonov
Publisher	State Research Center of the Russian Federation
Pages	238-242
Number of pages	5
ISBN (Electronic)	9785919950042
Publication status	Published - 2011
Event	18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Saint Petersburg, Russian Federation Duration: 30 May 2011 → 1 Jun 2011

Publication series

Name	18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings

Conference

Conference	18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011
Country/Territory	Russian Federation
City	Saint Petersburg
Period	30/05/11 → 1/06/11

Cite this

Dinç, M., & Hajiyev, C. (2011). Development of autonomous underwater vehicle navigation system based on kalman filtering technique. In D. O. Taranovskiy, & V. G. Peshekhonov (Eds.), 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings (pp. 238-242). (18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings). State Research Center of the Russian Federation.

Dinç, Mustafa ; Hajiyev, Chingiz. / Development of autonomous underwater vehicle navigation system based on kalman filtering technique. 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings. editor / D.O. Taranovskiy ; Vladimir G. Peshekhonov. State Research Center of the Russian Federation, 2011. pp. 238-242 (18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings).

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title = "Development of autonomous underwater vehicle navigation system based on kalman filtering technique",

abstract = "The research on underwater systems has gained an immense interest during the last decades with applications taken place in many fields. Therefore, the significant number of underwater vehicles (UVs) has been developed for the solving of wide spectrum of scientific and applied tasks of sea research and development in the world. AUVs require a precise navigation system for localization, positioning, path tracking, guidance, and control during long period of duty cycle. In order to develop an accurate and robust navigation system for an AUV, we need to derive overall modeling of AUV. This article is basically focused on dynamic modeling of high speed Autonomous Underwater Vehicle (AUV) and development of integrated navigation system based on Kalman filtering technique.",

author = "Mustafa Din{\c c} and Chingiz Hajiyev",

year = "2011",

language = "English",

series = "18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings",

publisher = "State Research Center of the Russian Federation",

pages = "238--242",

editor = "D.O. Taranovskiy and Peshekhonov, {Vladimir G.}",

booktitle = "18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings",

note = "18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 ; Conference date: 30-05-2011 Through 01-06-2011",

}

Dinç, M & Hajiyev, C 2011, Development of autonomous underwater vehicle navigation system based on kalman filtering technique. in DO Taranovskiy & VG Peshekhonov (eds), 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings. 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings, State Research Center of the Russian Federation, pp. 238-242, 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011, Saint Petersburg, Russian Federation, 30/05/11.

Development of autonomous underwater vehicle navigation system based on kalman filtering technique. / Dinç, Mustafa; Hajiyev, Chingiz.
18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings. ed. / D.O. Taranovskiy; Vladimir G. Peshekhonov. State Research Center of the Russian Federation, 2011. p. 238-242 (18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The research on underwater systems has gained an immense interest during the last decades with applications taken place in many fields. Therefore, the significant number of underwater vehicles (UVs) has been developed for the solving of wide spectrum of scientific and applied tasks of sea research and development in the world. AUVs require a precise navigation system for localization, positioning, path tracking, guidance, and control during long period of duty cycle. In order to develop an accurate and robust navigation system for an AUV, we need to derive overall modeling of AUV. This article is basically focused on dynamic modeling of high speed Autonomous Underwater Vehicle (AUV) and development of integrated navigation system based on Kalman filtering technique.

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M3 - Conference contribution

AN - SCOPUS:84913555839

T3 - 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings

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BT - 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings

A2 - Taranovskiy, D.O.

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ER -

Dinç M, Hajiyev C. Development of autonomous underwater vehicle navigation system based on kalman filtering technique. In Taranovskiy DO, Peshekhonov VG, editors, 18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings. State Research Center of the Russian Federation. 2011. p. 238-242. (18th Saint Petersburg International Conference on Integrated Navigation Systems, ICINS 2011 - Proceedings).

Development of autonomous underwater vehicle navigation system based on kalman filtering technique

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