A review of sensor fusion techniques for underwater vehicle navigation

Ocean '04 - MTS/IEEE Techno-Ocean '04: Bridges across the Oceans - Conference Proceedings

Volumn 3, Issue , 2004, Pages 1600-1605

  Nicosevici, Tudor ^a   Garcia, Rafael ^a   Carreras, Marc ^a   Villanueva, Miquel ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MOBILE ROBOTS; NAVIGATION SYSTEMS; REMOTELY OPERATED VEHICLES; SENSORS; STATE ESTIMATION;

EXPLORATORY MISSIONS; LOCALIZATION; SENSOR FUSION; UNDERWATER VEHICLE NAVIGATION;

SENSOR DATA FUSION;

EID: 19644376589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (39)

1. M. Carreras, P. Ridao, R. Garcia, and T. Nicosevici, "Vision-based localization of an underwater robot in a structured environment," in IEEE International Conference on Robotics and Automation (ICRA), 2003.
2. X. C. R. Garcia, J. Batlle and J. Amat, "Positioning an underwater vehicle through image mosaicking," IEEE International Conference on Robotics and Automation (ICRA), vol. 3, pp. 2779-2784, 2001.
3. R. Garcia, J. Puig, P. Ridao, and X. Cufi, "Augmented state Kalman filtering for auv navigation," IEEE International Conference on Robotics and Automation (ICRA), pp. 4010-4015, 2002.
4. T. Moore, "An introduction to the global positioning system and its applications," Developments in the Use of Global Positioning Systems, pp. 1/1 -1/6, Feb 1994.
5. D. Jourdan, and B. Brown, "Improved navigation system for USBL users," in IEEE OCEANS Conference (OCEANS), vol. 1, Oct 97, pp. 727-735.
6. F. P. Parthiot, and J. F. Denis, "A better way to navigate on deep sea floors," in IEEE OCEANS Conference (OCEANS), vol. 2, Oct 1993, pp. 494-498.
7. A. Matos, N. Cruz, A. Martins, and F. L. Pereira, "Development and implementation of a low-cost lbl navigation system for an AUV," in IEEE OCEANS Conference (OCEANS), vol. 2, Sept. 1999, pp. 774-779.
8. R. Garcia, X. Cufi, and M. Carreras, "Estimating the motion of an underwater robot from a monocular image sequence," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2001, pp. 1682-1687.
9. th Annual Conference of IEEE Industrial Electronics Society (IECON), vol. 1, Nov 1990, pp. 707-722.
10. R. C. Luo, Y. Chih-Chen, and K. L. Su, "Multisensor fusion and integration: approaches, applications, and future research directions," IEEE Sensors Journal, vol. 2, no. 2, pp. 104-119, April 2002.
11. D. L. Hall and J. Llinas, "An introduction to multisensor data fusion," in IEEE Sensors Journal, vol. 85, no. 1, Jan 1997, pp. 6-23.
12. R. B. McGhee, J. R. Clynch, A. J. Healey, S. H. Kwak, D. P. Brutzman, X. P. Yun, N. A. Norton, R. H. Whalen, E. R. Bachmann, D. L. Gay, and W. R. Schubert, "An experimental study on an integrated GPS/INS system for shallow water AUV navigation," in International Symposium on Umanned Unthetered Submersible Techonology, 1995, pp. 153-167.
13. R. S. Doyle and C. J. Harris, "Multisensor data fusion for helicopter guidance using neurofuzzy estimation algorithms," The Royal Aeronautical Society Journal, pp. 241-251, June 1996.
14. K. Kobayashi, K. C. Cheok, K. Watanabe, and F. Munekata, "Accurate differential global positioning via fuzzy logic Kalman filter sesor fusion technuque," in IEEE Transaction on Industrial Electronics, vol. 3, 1998, pp. 510-518.
15. S. McGinnity and G. Irwin, "Nonlinear state estimation using fuzzy local linear models," International Journal of Systems Science, vol. 7, pp. 643-656, 1997.
16. M. J. Rendas and I. M. J. Lourtie, "Hybrid navigation system for long range navigation," in Symposium on Autonomous Underwater Vehicle Technology, 1994, pp. 353-359.
17. L. Drolet, F. Michaud, and J. Cote, "Adaptable sensor fusion using multiple Kalman filters," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2, Nov 2000, pp. 1434-1439.
18. S. Niwa, T. Masuda, and Y. Sezaki, "Kalman filter with time-variable gain for a multisensor fusion system," in IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Aug 1999, pp. 56-61.
19. M. A. Zohdy, A. A. Khan, and P. Benedict, "Fused multi-sensor data using a Kalman filter modified with interval probability support," in American Control Conference, vol. 5, June 1995, pp. 3046-3049.
20. J. Neira, J. Horn, J. D. Tardos, and G. Schmidt, "Multisensor mobile robot localization," IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 673-679, April 1996.
21. S. C. Wei, Y. Yagi, and M. Yachida, "Online map building based on ultrasonic and image sensor," in IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, Oct 1996, pp. 1601-1605.
22. S. Majumder, S. Shading, and H. F. Durrant-Whyte, "Sensor fusion and map building localisation for underwater navigation," in International Symposium on Experimental Robotics, 2000.
23. S. Majumder, S. Shading, and H. F. Durrant-Whyte, "Sensor fusion and map building for underwater navigation," in Australian Conference on Robotics and Automation, 2000, pp. 25-30.
24. S. Majumder, S. Sheding, and H. F. Durrant-Whyte, "Multisensor data fusion for underwater navigation," Robotics and Automation Systems, vol. 35, pp. 97-108, 2001.
25. M. J. Chantler, D. B. Lindsay, C. S. Reid, and V. J. C. Wright, "Optical and acoustic range sensing for underwater robotics," in OCEANS Engineering for Today's Technology and Tomorrow's Preservation (OCEANS), vol. 1, Sept 1994, pp. 205-210.
26. P. Bison, G. Chemello, C. Sossai, and G. Trainito, "Logic-based sensor fusion for localization," in IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), July 1997, pp. 254-259.
27. D. Dubois and H. Prade, "A survey of belief revision and updating rules in various uncertainty models," International Journal of Intelligent Systems, vol. 9, pp. 61-100, 1994.
28. D. Dubois and H. Prade, "Possibility theory and data fusion in poorly informed environments," Control Engeneering Practice, vol. 2, no. 5, pp. 811-823, 1994.
29. D. Dubois and H. Prade, "Combination of Fuzzy Information in the Framework of Possibilty Theory," Academic Press, 1992.
30. R. A. Brooks, "Intelligence without reason," Artificial Intelligence Lab., Tech. Rep., 1991.
31. R. A. Brooks, "A robust layered control system for a mobile robot," IEEE Journal of Robotics and Automation, vol. 2, April 1986.
32. C. M. Pearson and P. J. Probert, "A verified architecture for sensor fusion," in IEEE/RSJ International Workshop on Intelligent Robots and Systems (IROS), vol. 2, Nov 1991, pp. 1089-1094.
33. I. Kweon, Y. Y. Kuno, M. Watanabe, and K. Onoguchi, "Behaviour-based mobile robot using active sensor fusion," in IEEE International Conference on Robotics and Automation (ICRA), vol. 2, 1992, pp. 1675-1682.
34. G. Bailey, S. Raghavan, N. Gupta, B. Lambird, and D. Lavine, "Infuse-an integrated expert neural network for intelligent sensor fusion," in IEEE/ACM International Conference on Developing and Managing Expert System Programs, Sept 1991, pp. 196-201.
35. V. Vapnik, "The Nature of Statistical Learning Theory," Springer-Verlag, 1995.
36. J. Moody and C. Darken, "Fast learning in networks of locally tuned processing units," in Neural Computation, vol. 1, 1989, pp. 281-294.
37. A. Saha and J. Keeler, "Algorithms for better representation and faster learning in radial basis function networks," Advances in Neural Information Processing System, vol. 2, pp. 482-489, 1989.
38. C. Jiang and Z. Chen, "Multisensor fusion using Hopfield neural network in INS/SMGS integrated system," in International Conference on Signal Processing, vol. 2, 2002, pp. 1199-1202.
39. T. Mukai, T. Mori, and M. Ishikawa, "A sensor fusion system using mapping learning method," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 1, July 1993, pp. 391-396.