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2015 | 22 | Special Issue S1 |
Tytuł artykułu

Construction method of the topographical features model for underwater terrain navigation

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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
Słowa kluczowe
Wydawca
-
Rocznik
Tom
22
Opis fizyczny
p.121-125,fig.,ref.
Twórcy
autor
  • Key Laboratory of Micro-Internal Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
autor
  • Key Laboratory of Micro-Internal Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
autor
  • Key Laboratory of Micro-Internal Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
Bibliografia
  • 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.
  • 2. Anonsen, K.B. and Hagen, O.K., Terrain aided underwater navigation using pockmarks, OCEANS, pp. 1-6, 2009.
  • 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.
  • 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.
  • 5. Carreno, S., Wilson, P., Ridao, P., et al., A survey on terrain based navigation for AUVs, OCEANS,Vol. 10, pp. 1-7, 2010.
  • 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.
  • 7. Feng, Q.T., A new method of terrain matching and its environmental adaptability reseach, University of Defense Technology, 2004.
  • 8. Kjetil Bergh Anonsen, Ove Kent Hagen. Recent developments in the HUGIN AUV terrain navigation system, OCEANS, Vol. 9, pp. 1-7, 2011.
  • 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. 13851399, 2009.
  • 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.
  • 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.
  • 12. Panahandeh, Ghazaleh, Jansson, Magnus. Visionaided inertial navigation using planar terrain features. International Conference on Robot, Vision and Signal Processing, pp. 287-291, 2011.
  • 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.
  • 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.
  • 15. Stalder, S., Bleuler, H., and Ura, T., Terrain-based navigation for underwater vehicles using side scan sonar images. OCEANS, pp. 1-3, 2008.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-019ecb4c-ce92-4b4f-89f3-056133de94dd
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