1. bookVolume 22 (2015): Issue s1 (September 2015)
    Title: Special issue
Journal Details
License
Format
Journal
First Published
20 Jul 2007
Publication timeframe
4 times per year
Languages
English
access type Open Access

Construction Method of the Topographical Features Model for Underwater Terrain Navigation

Published Online: 15 Oct 2015
Page range: 121 - 125
Journal Details
License
Format
Journal
First Published
20 Jul 2007
Publication timeframe
4 times per year
Languages
English

Terrain database is the reference basic for autonomous underwater vehicle (AUV) to implement underwater terrain navigation (UTN) functions, and is the important part of building topographical features model for UTN. To investigate the feasibility and correlation of a variety of terrain parameters as terrain navigation information metrics, this paper described and analyzed the underwater terrain features and topography parameters calculation method. Proposing a comprehensive evaluation method for terrain navigation information, and constructing an underwater navigation information analysis model, which is associated with topographic features. Simulation results show that the underwater terrain features, are associated with UTN information directly or indirectly, also affect the terrain matching capture probability and the positioning accuracy directly.

Keywords

1. Anonsen, K.B. and Hagen, O.K., An analysis of real-time terrain aided navigation results from a HUGIN AUV, OCEANS, Vol. 10, pp. 1-9, 2010.Search in Google Scholar

2. Anonsen, K.B. and Hagen, O.K., Terrain aided underwater navigation using pockmarks, OCEANS, pp. 1-6, 2009.Search in Google Scholar

3. Ayanna, M.H., Fuzzy-logic based selection of surface feature observations for small body proximity operations, WAC ‘06. World Automation Congress, pp. 1-6, 2006.Search in Google Scholar

4. Bagnell, J. A., Bradley, D., and Silver, D., et al., Learning for autonomous navigation, Robotics & Automation Magazine, Vol. 17, no. 2, pp. 74-84, 2010.Search in Google Scholar

5. Carreno, S., Wilson, P., Ridao, P., et al., A survey on terrain based navigation for AUVs, OCEANS,Vol. 10, pp. 1-7, 2010.Search in Google Scholar

6. Deborah K. Meduna, Stephen M. Rock, Robert S. McEwen. Closed-loop terrain relative navigation for AUVs with non-inertial grade navigation sensors, 2010 IEEE/OES Autonomous Underwater Vehicles (AUV),pp. 1-8. 2010.Search in Google Scholar

7. Feng, Q.T., A new method of terrain matching and its environmental adaptability reseach, University of Defense Technology, 2004.Search in Google Scholar

8. Kjetil Bergh Anonsen, Ove Kent Hagen. Recent developments in the HUGIN AUV terrain navigation system, OCEANS, Vol. 9, pp. 1-7, 2011.Search in Google Scholar

9. Nordlund, P.J. and Gustafsson, F., Marginalized particle filter for accurate and reliable terrain-aided navigation, Aerospace and Electronic Systems, Vol. 45, no. 4, pp. 1385-1399, 2009.Search in Google Scholar

10. Marvin, W., Roe, M.E., and Trenchard, M.C.L., Integrating vector overlay information into naval digital map systems. IEEE/AIAA 30th Digital Avionics Systems Conference, pp. 6B5-1 - 6B5-9, 2011.Search in Google Scholar

11. McPhail, S., Stevenson, P., Pebody, M., et al., Challenges of using an AUV to find and map hydrothermal vent sites in deep and rugged terrains, 2010 IEEE International Conference on Autonomous Underwater Vehicles (AUV), pp. 1-8, 2010.Search in Google Scholar

12. Panahandeh, Ghazaleh, Jansson, Magnus. Visionaided inertial navigation using planar terrain features. International Conference on Robot, Vision and Signal Processing, pp. 287-291, 2011.Search in Google Scholar

13. Pullen, J.D. and Allen, J.S., Modeling studies of the coastal circulation off Northern California: shelf response to a major Eel river flood event, Continental Shelf Research, Vol. 20, pp. 2213-2238, 2000.Search in Google Scholar

14. Reynaud, S. and Louis, C., A universal navigability map building approach for improving Terrain-Aided-Navigation accuracy. 2010 IEEE/ION Conference on Position Location and Navigation Symposium (PLANS), pp. 888-896, 2010.Search in Google Scholar

15. Stalder, S., Bleuler, H., and Ura, T., Terrain-based navigation for underwater vehicles using side scan sonar images. OCEANS, pp. 1-3, 2008.Search in Google Scholar

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