References

Acosta, G. G. ; Calvo Ibanez, O. A. ; Curti, H. J. & Rozenfeld A. F. (2007). Low cost autonomous underwater vehicle for pipeline and cable inspection, Proceedings of IEEE UT07/SSC07 - Underwater Technology 2007 and Workshop on Scientific Use of Submarine Cables & Related Technologies 2007, Vol. 1, pp. 331-336, ISBN: 1-4244-12080/07, Tokyo, Japan, April 17-20 2007. Acosta, G. G. ; Curti, H. J. ; Calvo, O. A. & Rossi, S. R. (2006). A knowledge-based approach for na AUV path planner development. WSEAS Transactions on Systems, Vol. 5, No. 6, June 2006, pp. 1417-1424, ISSN: 1109-2777. Acosta, G. G. ; Curti, H. & Calvo, O. (2005). Autonomous underwater pipeline inspection in AUTOTRACKER PROJECT : the navigation module, Proceedings of IEEE-0CEANS'05 Europe Conference, Vol. 1, pp. 389-394, Brest, France, June 2123 2005.

Acosta, G. G. ; Curtí, H. ; Calvo, O. & Mochnacs, J. (2003). An Expert navigator for an autonomous underwater vehicle, Proceedings of SADIO/Argentine Symposium on Artificial Intelligence ASAI'03, in CD, Buenos Aires, Argentine, September 2003.

Antonelli, G.; Chiaverini, S.; Finotello, R. & Schiavon, R. (2001). Real-time path planning and obstacle avoidance for RAIS: an autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, Vol. 26, No. 2, April 2001, pp. 216-227, ISSN: 0364-9059.

Balasuriya, A. & Ura, T. (1998). Autonomous target tracking by underwater robots based on vision, Proceedings of IEEE International Symposium on Underwater Technology, pp. 191-197, Tokyo-Japan.

Barron, J. L.; Fleet, D. & Beauchemin S. (1994). Performance of optical flow techniques. Int. Journal of Computer Vision, Vol. 12, No. 1, pp. 43-77, ISSN: 0920-5691.

Bartumeus, F.; Catalan, J.; Fulco, U. L.; Lyra, M. L. & Viswanathan G. M.. (2002). Optimizing the encounter rate in biological interactions: Lévy versus Brownian strategies. Physical Review Letters, Vol. 88, No. 9, March 2002, pp. 1-4, ISSN: 0031-9007.

Breivik, M. & Fossen, T. (2005). A unified concept for controlling a marine surface vessel through the entire speed envelope, Proceedings of IEEE Mediterranean Conference on Control and Automation, pp. 1518-1523, Limassol, Cyprus, June 27-29 2005.

Curti, H. ; Acosta, G. G. & Calvo, O. (2005). Autonomous underwater pipeline inspection in AUTOTRACKER PROJECT : the simulation module, Proceedings of IEEE-OCEANS'05 Europe Conference, Vol. 1, pp. 384-388, Brest, France, June 2123 2005.

Evans, J. ; Petillot, Y. ; Redmond, P. ; Wilson, M. & Lane, D. (2003). AUTOTRACKER : AUV embedded control architecture for autonomous pipeline and cable tracking, Proceedings of IEEE-OCEANS 2003, Vol.5, pp. 2651-2658.

Fernández León, J. A. ; Acosta, G. G. ; Mayosky, M. A. & Calvo Ibáñez, O. (2008). A biologically inspired control based on behavioural coordination in evolutionary robotics, Chapter in: Advancing Intelligence through Biological Process Applications, Idea Group Inc., pp. 107- 129, ISBN: 978-1-59904-996-0.

Fernández León, J.; Tosini, M & Acosta, G. G. (2004). Evolutionary reactive behavior for mobile robots navigation, Proceedings of 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS04), pp. 532-537, Singapore, December 1-3, 2004.

Looney, C. (1997). Pattern Recognition Using Neural Networks, Oxford University Press, ISBN: 0-19-507920-5, Oxford/NY.

Naeem, W. ; Suttom, R. ; Ahmad, S. & Burns, R. (2003). A review of guidance laws applicable to unmanned underwater vhicles. The Journal of Navigation, Vol. 56, pp. 15-29

Rives, P. ; Breuil, E. & Espiau, B. (1986). Recursive estimation of 3D features using optical flow and camera motion, LAS, pp. 522-532.

Shi, J. & Tomasi, C. (1994). Good features to track, Proceedings of IEEE Computer Soc. Conference on Computer Vision and Pattern recognition (CVPR'94), pp. 593-600, Seattle, USA, June 1994.

Valenciaga, F. ; Puleston, P. F. ; Acosta, G. G. & Calvo, O. (2007). Trajectory tracking of the Cormoran AUV based on a PI-MIMO approach, Proceedings of IEEE-OCEANS'07 Europe Conference, pp. 1-6, ISBN: 978-1-4244-0635-7, Aberdeen, Scotland, June 18-21 2007.

Was this article helpful?

0 0
Learn Photoshop Now

Learn Photoshop Now

This first volume will guide you through the basics of Photoshop. Well start at the beginning and slowly be working our way through to the more advanced stuff but dont worry its all aimed at the total newbie.

Get My Free Ebook


Post a comment