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Review of AUV Underwater Terrain Matching Navigation

Published online by Cambridge University Press:  25 May 2015

Pengyun Chen ,
Ye Li ,
Yumin Su ,
Xiaolong Chen  and
Yanqing Jiang
Pengyun Chen
Affiliation:
(Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, China)
Ye Li*
Affiliation:
(Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, China)
Yumin Su
Affiliation:
(Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, China)
Xiaolong Chen
Affiliation:
(Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, China) (China Ship Development and Design Center, Wuhan, 430064, China)
Yanqing Jiang
Affiliation:
(Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, 150001, China)
*
(E-mail: [email protected])
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Abstract

Underwater terrain matching navigation technology is an important research area for the underwater navigation of Autonomous Underwater Vehicles (AUVs). Terrain matching navigation can realise long-term, subtle, all-weather, and high-precision underwater AUV navigation. In this paper, the research status of the application of AUV underwater terrain matching navigation is reviewed, the system composition, theory and terrain matching methods of underwater terrain matching navigation are summarised and the advantages of a multi-beam bathymetric system in underwater terrain matching navigation are discussed. The current research thoughts are summarised, the key issues are pointed out, and possible future development trends are discussed.

Keywords

Autonomous Underwater VehicleMulti-Beam BathymetryTerrain Matching
Type
Review Article
Information
The Journal of Navigation , Volume 68 , Issue 6 , November 2015 , pp. 1155 - 1172
Copyright
Copyright © The Royal Institute of Navigation 2015 

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References

REFERENCES

Anonsen, K.B. and Hagen, O.K. (2009). Terrain Aided Underwaer Navigation Using Pockmarks. OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, Biloxi, MS.Google Scholar
Anonsen, K.B. and Hagen, O.K. (2010). An Analysisi of Real-Time Terrain Aided Navigation Results from HUGIN AUV. OCEANS 2010, Seattle, WA.Google Scholar
Anonsen, K.B., Hallingstad, O. and Hagen, O.K. (2007). Bayesian Terrain-Based Underwater Navigation Using an Improvd State-Space Model. Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies, Tokyo.Google Scholar
Baraka, N.E., and Le Gland, F. (2010). Bayesian terrain-aided inertial navigation using airborne laser scanner. Proceedings of the 2010 International Technical Meeting of The Institute of Navigation, San Diego, CA.Google Scholar
Batista, P., Silvestre, C. and Oliveira, P. (2013). Globally exponentially stable filters for source localization and navigation aided by direction measurements. Systems & Control Letters, 62(11), 1065–1072.CrossRefGoogle Scholar
Bergman, N., Ljung, L. and Gustafsson, F. (1999). Terrain Navigation Using Bayesian Statistics. Control Systems, 19(3), 33–39.Google Scholar
Bergman, N. (1998). Deterministic and stochastic Bayesian methods in terrain navigation. Proceedings of the 37th IEEE Conference on Decision and Control, Tampa, FL.CrossRefGoogle Scholar
Carlstrom, J. and Nygren, I. (2005). Terrain Navigation of the Swedish AUV62 F Vehicle. Unmanned Untethered Submersible Technol, Durham, NH.Google Scholar
Carreno, S., Wilson, P., Ridao, P. and Petillot, Y. (2010). A Survey on Terrain Based Navigation for AUVs. OCEANS 2010, Seattle, WA.CrossRefGoogle Scholar
Chen, X.L. (2013). A Study on Terrain Matching Navigation for Autonomous Underwater Vehicle . Ph.D Thesis of Harbin Engineering University. (in Chinese)Google Scholar
Donovan, G.T. (2012). Position error correction for an autonomous underwater vehicle inertial navigation system (INS) using a particle filter. IEEE Journal of Oceanic Engineering, 37(3), 431–445.CrossRefGoogle Scholar
Fellerhoff, J. R.and Creel, E. E. (1986). Data compression techniques for use with the SITAN algorithm. Position Location and Navigation Symposium, Las Vegas, NV.Google Scholar
Gao, Y.Q., Liu, H. and Zhang, Y. (2014). The Study on Measurement Errors about Underwater Terrain Matching Performance. Journal of Projectiles, Rockets, Missiles and Guidance, 34(1), 180–183. (in Chinese)Google Scholar
Garcia, R., Puig, J., Ridao, P. and Cufi, X. (2002). Augmented State Kalman Filtering for AUV Navigation. IEEE International Conference on Robotics and Automation, Washington, DC.CrossRefGoogle Scholar
Hagen, O.K. and Anonsen, K.B. (2014). Using Terrain Navigation to Improve Marine Vessel Navigation Systems. Marine Techology Society Journal, 48(2), 45–58.CrossRefGoogle Scholar
Hagen, O.K., Anonsen, K.B. and Mandt, M. (2010). The HUGIN Real-Time Terrain Navigation System. OCEANS 2010, Seattle, WA.Google Scholar
Hagen, O.K. (2006). TerrLab-a generic simulation and post-processing tool for terrain referenced navigation. OCEANS 2006, Boston, MA.Google Scholar
Hagen, P.E., Midtgaard, O. and Hasvold, O. (2007). Making AUVs Truly Autonomous. OCEANS 2007, Vancouver, BC.Google Scholar
Holtzhausen, S., Matsebe, O., Tlale, N.S. and Bright, G. (2008). Autonomous Underwater Vehicle Motion Tracking using a Kalman Filter for Sensor Fusion. 15th international conference on mechatronics and machine vision in practice, Auckland.CrossRefGoogle Scholar
Hu, Y.F., Zhu, H.Q. and Xia, T.J. (2008). Modern Deep Multi-beam Sounding System Introduction. Acoustics and Electronic Engineering, 1, 46–48. (in Chinese)Google Scholar
Huang, M.T., Zhai, G.J. and Ouyang, Y.U. (2003). Marine Measurement Error Processing Technology Research. Marine Surveying and Mapping, 23(3), 57–62. (in Chinese)Google Scholar
Jalving, B., Gade, K. and Svartveit, K. (2004). DVL Velocity Aiding in the HUGIN 1000 Integrated Inertial Navigation System. Modeling, Identification and Control, 25(4), 223–235.CrossRefGoogle Scholar
Jiang, X.S., Feng, X.S. and Wang, D.T. (2000).Underwater Robots. Liaoning Science and Technology Press.(in Chinese)Google Scholar
Kimball, P. and Tock, S. (2011). Sonar-based iceberg-relative navigation for autonomous undetwater vehicles. Deep Sea Research Part II: Topical Studies in Oceanography, 58(11),1301–1310.CrossRefGoogle Scholar
Lee, P.M., Jun, B.H., Choi, H.T. and Hong, S.W. (2005). An Integrated Navigation Systems for Underwater Vehicles Based on Inertial Sensors and Pseudo LBL Acoustic Transponders. Proceedings of MTS/IEEE Oceans, Washington, DC.Google Scholar
Leonard, J.J., Bennett, A.A., Smith, C.M. and Feder, H. (1998). Autonomous Underwater Vehicle Navigation. In IEEE ICRA Workshop on Navigation of Outdoor Autonomous Vehicles, Leuven, Belgium.Google Scholar
Lerner, R. and Rivlin, E. (2011). Direct Method for Video-Based Navigation Using a Digital Terrain Map. IEEE transactions on pattern analysis and machine intelligence, 33(2), 406–411.CrossRefGoogle ScholarPubMed
Li, J. (2006). Shallow Sea Multi-beam Sounding Echo Signal Modeling and received Time Study. Ma.D Thesis of Nanjing University of Aeronautics and Astronautics. (in Chinese)Google Scholar
Li, Y., Chang, W.T., Sun, Y.S. and Su, Y.M. (2007). Development and Prospect of Automatic Underwater Vehicle. Robot Technique and Application, 1, 25–31. (in Chinese)Google Scholar
Liu, C.X., Ruan, S.C. and Wu, X.Q. (2004). Study in Digital Map Generation Algorithm Based on Kriging Interpolation. Shenzhen University Academic Journal of Technology, 21(4), 295–300. (in Chinese)Google Scholar
Liu, J.N. and Zhao, J.H. (2002). The Status and Development Trend of The Multi-beam Sounding System. Marine Surveying and Mapping, 22 (5), 3–6. (in Chinese)Google Scholar
Luo, S.R. (2003).Comprehensive Application Side Scan Sonar and Multi-beam Sounding System in Marine Survey. Marine Surveying and Mapping, 23(1), 22–24. (in Chinese)Google Scholar
McPhail, S.D.Pebody, M. (1997). Autosub-1, A distributed approach to navigation and control of an autonomous underwater vehicle. Proceedings of the 1997 7th International Conference on Electronic Engineering in Oceanography-Technology transfer from research to industry, Southampton, UK.CrossRefGoogle Scholar
McTrusty, T.J. and Dudinsky, J.D. (2003). REMUS UUV navigation accuracy testing. Oceans 2003, San Diego, CA.Google Scholar
Meduna, D.K., Rock, S.M. and McEwen, R.S. (2008). Low-Cost Terrain Relative Navigation for Long-Range AUVs. OCEANS 2008, Quebec City, QC.Google Scholar
Meduna, D.K., Rock, S.M. and McEwen, R.S. (2010). Closed-Loop Terrain Relative Navigation for AUVs with Non-Inertial Grade Navigation Sensors. Autonomous Underwater Vehicles (AUV), 2010 IEEE/OES, Monterey, CA.Google Scholar
Morice, C., Veres, S. and McPhail, S. (2009). Terrain Referencing for Autonomous Navigation of Underwater Vehicles. OCEANS 2009- EUROPE, Bremen.Google Scholar
Nakatani, T., Ura, T., Ito, Y., Kojima, J., Tamura, K., Sakamaki, T. and Nose, Y. (2008). AUV TUNA-SAND and its Exploration of hydrothermal vents at Kagoshima Bay. OCEANS 2008-MTS/IEEE Kobe Techno-Ocean, Kobe.Google Scholar
Nakatani, T., Ura, T., Sakamaki, T., and Kojima, J. (2009). Terrain based localization for pinpoint observation of deep seafloors. OCEANS 2009, Bremen.Google Scholar
Nygren, I. (2005). Terrain Navigation for Underwater Vehicles. PhD Thesis of Royal Institute of Technology.Google Scholar
Nygren, I. (2008). Robust and Efficient Terrain Navigation of Underwater Vehicles. Position, Location and Navigation Symposium, 2008 IEEE/ION, Monterey, CA.CrossRefGoogle Scholar
Sang, E.F., Pang, Y.J., and Bian, H.Y. (2003). Underwater Robots Technology. Robot Technique and Application, 3, 8–13. (in Chinese)Google Scholar
Stalder, S., Bleuler, H. and Ura, T. (2008). Terrain-based Navigation for Underwater Vehicles Using Side Scan Sonar Images. OCEANS 2008, Quebec City, QC.Google Scholar
Sun, Y.S., Wan, L. and Pang, Y.J. (2010). Underwater Uehicle Navigation Technology Research Status and Prospect. Robot Technique and Application, 1, 31–42. (in Chinese)Google Scholar
Ura, T., Nakatani, T. and Nose, Y. (2006). Terrain based localization method for wreck observation AUV. OCEANS 2006, Boston, MA.Google Scholar
Williams, S.B., Newman, P., Rosenblatt, J., Dissanayake, G. and Durrant-Whyte, H. (2001). Autonomous underwater vehicle navigation and control. Robotica, 19(5), 481–496.CrossRefGoogle Scholar
Willumsen, A.B., Hallingstad, O. and Jalving, B. (2006). Integration of Range, Bearing and Doppler Measurements from Transponders into Underwater Vehicle Navigation Systems. OCEANS 2006, Boston, MA.Google Scholar
Xu, X. S., Wu, J. F., Xu, S. B., Wang, L. H. and Li, P. J. (2014). ICCP algorithm for underwater terrain matching navigation based on affine correction. Journal of Chinese Inertial Technology, 22(3), 362–367.Google Scholar
Yan, K.C., Li, Y.P. and Yuan, X.Q. (2002). Remote AUV Reacerch. Robot, 24(4), 299–303. (in Chinese)Google Scholar
Zhai, Z.W. (2010). Portable Single Frequency Sounder System Design. Ma.D Thesis of Harbin Engineering University. (in Chinese)Google Scholar
Zhang, J.H., Li, J. and Wang, T. (2006). Remote AUV Integrated Navigation Technology Research. Academic Journal Ournal of Missiles, Rockets and Control, 26(1),183–188. (in Chinese)Google Scholar
Zhang, K., Li, Y., Zhao, J.H. and Rizos, C. (2014). A Study of Underwater Terrain Navigation based on the Robust Matching Method. Journal of Navigation, 67(4), 569–578.CrossRefGoogle Scholar
Zhao, J.H. and Liu, J.N. (2008). Multi-beam Sounding and Smage Data Processing, Wuhan University Press. (in Chinese)Google Scholar