A Concept for Application of a Stereo Vision Method in Control System of an Underwater Vehicle

Article Preview

Abstract:

The aim of this research was to describe a concept for application of a stereo vision method in control system of an underwater vehicle. We have focused on a stereo vision method and a motion parameters determination. Our results show that usage of stereo vision rig in a control system may facilitate underwater inspections in the close distance to the investigated object. The future work will focus on the implementation of the proposed method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

73-80

Citation:

Online since:

January 2016

Export:

Price:

* - Corresponding Author

[1] A. Balasuriy, M. Takai, W. Lam, T. Ura, Y. Kuroda, Vision based autonomous underwater vehicle navigation: Underwater cable tracking, Oceans '97 (1997) 1418-1424.

DOI: 10.1109/oceans.1997.624205

Google Scholar

[2] L. Whitcomb, D. Yoerger, H. Singh, Advances in Doppler-based navigation of underwater robotic vehicles, IEEE International Conference on Robotics and Automation, (1999) 399-406.

DOI: 10.1109/robot.1999.770011

Google Scholar

[3] H. Kondo, T. Ura, Navigation of an AUV for investigation of underwater structures, Control Engineering Practice Vol. 12 (2004) 1551-1559.

DOI: 10.1016/j.conengprac.2003.12.005

Google Scholar

[4] G. J. Dobeck, Algorithm fusion for automated sea mine detection and classification, Oceans Conf. and Exhibition, Vol. 1 (2001) 130-134.

Google Scholar

[5] R.M. Eustice, H. Singh, J. Leonard, M. R. D. Ballard, Visually navigating the RMS Titanic with SLAM information filters, Proceedings of Robotics Science and Systems. Cambridge (2004) 57-64, (2004).

DOI: 10.15607/rss.2005.i.008

Google Scholar

[6] S. Van der Zwaan, A. Bernardino, J. Santos-Victor, Visual station keeping for floating robots in unstructured environments, Robotics and Autonomous Systems, Vol. 39 (2002) 145-155.

DOI: 10.1016/s0921-8890(02)00200-2

Google Scholar

[7] N. Gracias, J. Santos-Victor, Underwater video mosaics as visual navigation maps, Computer Vision and Image Understanding, Vol. 79 (2000) 66–91.

DOI: 10.1006/cviu.2000.0848

Google Scholar

[8] S. Negahdaripour, X. Xu, J. Jin, Direct estimation of motion from sea floor images for automatic station-keeping of submersible platforms, IEEE Journal of Oceanic Engineering, Vol. 24 (1999) 370-382.

DOI: 10.1109/48.775298

Google Scholar

[9] R. M. Eustice, H. Singh, J. Leonard, M. Walter, Visually augmented navigation for autonomous underwater vehicles, IEEE J. of Oceanic Engineering, Vol. 33 (2008) 103-122.

DOI: 10.1109/joe.2008.923547

Google Scholar

[10] R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, (2003).

Google Scholar

[11] B. Cyganek, P. Siebert, An Introduction to 3D Computer Vision Techniques and Algorithms, John Willey & Sons, Chippenham, (2009).

Google Scholar

[12] A. Trucco, A. Verri, Introductory Techniques for 3D Computer Vision, Prentice-Hall, New Jersey, (1998).

Google Scholar

[13] B. Żak, S. Hożyń, Distance measurement using a stereo vision system, Trans Tech Publications, Solid State Phenomena, Volume 196 (2013) 189-197.

DOI: 10.4028/www.scientific.net/ssp.196.189

Google Scholar

[14] Corke P., Robotics, Vision and Control Fundamental Algorithms in MATLAB, Springer-Verlag, Berlin, (2011).

Google Scholar

[15] A. Żak, Motion Parameters Calculation in 3D Space Using Stereoscopic Images, Polish Journal of Environmental Studies, Vol. 19, No. 4A (2010) 124-128.

Google Scholar

[16] A. Żak, Stereoscopy in Object's Motion Parameters Determination, International Journal of Computers, Issue 2, Volume 5 (2011) 175-182.

Google Scholar