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Introduction

  • Francesco FanelliEmail author
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

Over the past few decades, the field of marine engineering witnessed a significant growth. The exploration of what lies below the surface and the exploitation of the resources available in the ocean depths attracted (and continue to attract) scientists and businessmen in equal measure. Regardless of the specific background, people involved in underwater operations often resort to the aid of robots, since the environment they work in is essentially hostile to humans.

References

  1. 1.
    Alcocer A, Oliveira P, Pascoal A (2007) Study and Implementation of an EKF GIB-based Underwater Positioning System. Control Eng Pract 15(6):689–701CrossRefGoogle Scholar
  2. 2.
    Alessandri A, Caccia M, Indiveri G, Veruggio G (1998) Application of LS and EKF techniques to the identification of underwater vehicles. In: Proceedings of the 1998 IEEE International Conference on Control Applications. Trieste (IT), pp 1084–1088Google Scholar
  3. 3.
    Allotta B, Caiti A, Chisci L, Costanzi R, Di Corato F, Fanelli F, Fantacci C, Fenucci D, Meli E, Ridolfi A (2015) A comparison between EKF-based and UKF-based navigation algorithms for AUVs localization. In: Proceedings of the MTS/IEEE OCEANS’15 Genova, Genova (IT)Google Scholar
  4. 4.
    Allotta B, Caiti A, Costanzi R, Fanelli F, Fenucci D, Meli E, Ridolfi A (2016) A new AUV navigation system exploiting unscented Kalman filter. J Ocean Eng 113:121–132CrossRefGoogle Scholar
  5. 5.
    Allotta B, Costanzi R, Fanelli F, Monni N, Paolucci L, Ridolfi A (2017) Sea currents estimation during AUV navigation using Unscented Kalman Filter. In: Proceedings of the IFAC 2017 World Congress, Toulouse (FR)Google Scholar
  6. 6.
    Allotta B, Costanzi R, Fanelli F, Monni N, Ridolfi A (2015) Single axis FOG aided attitude estimation algorithm for mobile robots. J Mechatronics 30:158–173CrossRefGoogle Scholar
  7. 7.
    Ånonsen KB, Hallingstad O (2007) Sigma point Kalman filter for underwater terrain-based navigation. In: Proceedings of the IFAC Conference on Control Applications in Marine Systems, Bol (Hr)Google Scholar
  8. 8.
    Arrichiello F, De Palma D, Indiveri G, Perlangeli G (2015) Observability analysis for single range localization. In: Proceedings of the MTS/IEEE OCEANS’15 Genova, Genova (IT)Google Scholar
  9. 9.
    Bahr A, Leonard JJ, Fallon MF (2009) Cooperative localization for autonomous underwater vehicles. Int J Robot Res 28:714–728CrossRefGoogle Scholar
  10. 10.
    Barisic M, Vasilijevic A, Nad D (2012) Sigma-point unscented Kalman filter used for AUV navigation. In: 20th Mediterranean Conference on Control and Automation, Barcelona (ES)Google Scholar
  11. 11.
    Bar-Shalom Y, Li XR, Kirubarajan T (2001) Estimation with applications to tracking and navigation: theory algorithms and software. WileyGoogle Scholar
  12. 12.
    Bayat M, Aguiar AP (2013) AUV range-only localization and mapping: observer design and experimental results. In: Proceedings of the 2013 European Control Conference, pp. 4394–4399. Zürich (CH)Google Scholar
  13. 13.
    Bayat M, Crasta N, Aguiar AP, Pascoal AM (2016) Range-based underwater vehicle localization in the presence of unknown ocean currents: theory and experiments. IEEE Trans Control Syst Technol 24(1)CrossRefGoogle Scholar
  14. 14.
    Costanzi R, Fanelli F, Monni N, Ridolfi A, Allotta B (2016) An attitude estimation algorithm for mobile robots under unknown magnetic disturbances. IEEE/ASME Trans Mechatronics 21:1900–1911CrossRefGoogle Scholar
  15. 15.
    Costanzi R, Fanelli F, Ridolfi A, Allotta B (2016) Simultaneous navigation state and sea current estimation through augmented state unscented Kalman Filter. In: Proceedings of the MTS/IEEE OCEANS’16 Monterey. Monterey (CA, US)Google Scholar
  16. 16.
    Crasta N, Bayat M, Aguiar AP, Pascoal AM (2014) Observability analysis of 3D AUV trimming trajectories in the presence of ocean currents using single beacon navigation. In: Proceedings of the 19th World Congress of the International Federation of Automatic Control. Cape Town (ZA), pp 4222–4227Google Scholar
  17. 17.
    El-Hawary F, Jing Y (1995) Robust regression-based EKF for tracking underwater targets. IEEE J Ocean Eng 20(1):31–41CrossRefGoogle Scholar
  18. 18.
    Fossen TI, Sagatun SI, Sørensen AJ (1996) Identification of dynamically positioned ships. J Control Eng Pract 4:369–376CrossRefGoogle Scholar
  19. 19.
    Gadre AS, Stilwell DJ (2005) Underwater navigation in the presence of unknown currents based on range measurements from a single location. In: Proceedings of the 2005 American Control Conference. Portland (OR, US), pp 656–661Google Scholar
  20. 20.
    Gebre-Egziabher D, Elkaim G, David Powell J, Parkinson B (2006) Calibration of strapdown magnetometers in magnetic field domain. J Aerosp Eng 19(2)CrossRefGoogle Scholar
  21. 21.
    Grip HF, Fossen TI, Johansen TA, Saberi A (2012) Integrated satellite and inertial navigation with gyro bias estimation and explicit stability guarantees. In: Proceedings of the 2005 American Control Conference. Montreal (CA)Google Scholar
  22. 22.
    Grip HF, Fossen TI, Johansen TA, Saberi A (2012) Attitude estimation using biased gyro and vector measurements with time-varying reference vectors. IEEE Trans Autom Control 57(5)Google Scholar
  23. 23.
    Hajiyev C, Ata M, Dinc M, Soken H (2012) Fault tolerant estimation of autonomous underwater vehicle dynamics via robust UKF. In: Proceedings of the 13th International Carpathian Control Conference. High Tatras (SK)Google Scholar
  24. 24.
    Hamel T, Mahony R (2006) Attitude estimation on SO(3) based on direct inertial measurements. In: Proceedings of the 2006 IEEE International Conference on Robotics and Automation. Orlando (FL, US), pp 2170–2175Google Scholar
  25. 25.
    Hegrenaes Ø, Hallingstad O (2011) Model-aided INS with sea current estimation for robust underwater navigation. IEEE J Ocean Eng 36(2)CrossRefGoogle Scholar
  26. 26.
    Jouffroy J, Reger J (2006) An algebraic perspective to single-transponder underwater navigation. In: Proceedings of the 2006 IEEE International Conference on Control Applications. Munich (DE), pp 1789–1794Google Scholar
  27. 27.
    Julier SJ, Uhlmann JK (2004) Unscented filtering and nonlinear estimation. In: Proceedings of the IEEE, vol 92(3), pp 401–422CrossRefGoogle Scholar
  28. 28.
    Julier SJ, Uhlmann JK (1997) A new extension of the Kalman filter to nonlinear systems. In: Proceedings of the SPIE Signal Processing, Sensor Fusion and Target Recognition VI Conference, vol 3068Google Scholar
  29. 29.
    Kalman RE (1960) A new approach to linear filtering and prediction problems. Trans ASME J Basic Eng 82(D):35–45CrossRefGoogle Scholar
  30. 30.
    Larsen MB (2000) Synthetic long baseline navigation of underwater vehicles. In: Proceedings of the MTS/IEEE OCEANS 2000 Conference and Exhibition. Providence (RI, US), pp 2043–2050Google Scholar
  31. 31.
    Mahony RE, Hamel T, Pflimlin JM (2008) Nonlinear complementary filters on the special orthogonal group. IEEE Trans Autom Control 53(5):1203–1218MathSciNetCrossRefGoogle Scholar
  32. 32.
    Mallios A, Ridao P, Ribas D, Maruelli F, Petillot Y (2010) EKF-SLAM for AUV navigation under probabilistic sonar scan-matching. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Taipei (CN)Google Scholar
  33. 33.
    Medagoda L, Williams SB, Pizarro O, Jakuba MV (2011) Water column current profile aided localisation combined with view-based SLAM for autonomous underwater vehicle navigation. In: Proceedings of the 2011 IEEE International Conference on Robotics and Automation. Shanghai (CN), pp 3048–3055Google Scholar
  34. 34.
    Nijmeijer H, Fossen TI (1999) New directions in nonlinear observer design. SpringerGoogle Scholar
  35. 35.
    Official ISME website: www.isme.unige.it
  36. 36.
    Official website of the ARCHEOSUb project: www.archeosub.eu
  37. 37.
    Official website of the ARROWS project: www.arrowsproject.eu
  38. 38.
    Official website of the euRathlon competition: www.eurathlon.eu
  39. 39.
    Official website of the euRobotics European Robotics League: www.eu-robotics.net/robotics_league
  40. 40.
    Official website of the SAUC-E competition: www.sauc-europe.org
  41. 41.
    Official website of the SUNRISE project: www.fp7-sunrise.eu
  42. 42.
    Official website of the THESAURUS project:www.thesaurus.isti.cnr.it
  43. 43.
    Osborn J, Qualls S, Canning J, Anderson M, Edwards D, Wolbrecht E (2015) AUV state estimation and navigation to compensate for ocean currents. In: Proceedings of the MTS/IEEE OCEANS’15 Washington. Washington (DC, US)Google Scholar
  44. 44.
    Ridao P, Ribas D, Hernàndez E, Rusu A, (2011) USBL/DVL navigation through delayed position fixes. In: Proceedings of the 2011 IEEE International Conference on Robotics and Automation. Shanghai (CN), pp 2344–2349Google Scholar
  45. 45.
    Rogowski P, Terrill E (2015) Mapping velocity field in coastal waters using an autonomous underwater vehicle. In: Proceedings of the 2015 IEEE/OES 11th Conference on Current, Waves and Turbulence Measurement. St. Petersburg (FL, US)Google Scholar
  46. 46.
    Sabet M, Sarhadi P, Zarini M (2014) Extended and unscented Kalman filters for parameter estimation of an autonomous underwater vehicle. J Ocean Eng 91:329–339CrossRefGoogle Scholar
  47. 47.
    Salcuedan S (1991) A globally convergent angular velocity observer for rigid body motion. IEEE Trans Autom Control 36(12)Google Scholar
  48. 48.
    Stanway MJ (2012) Contributions to automated realtime underwater navigation. Ph.D. dissertation, MIT/WHOI Joint ProgramGoogle Scholar
  49. 49.
    Stanway MJ (2011) Dead reckoning through the water column with an acoustic doppler current profiler: field experiences. In: Proceedings of the MTS/IEEE OCEANS’11 Kona. Waikoloa (HI, US)Google Scholar
  50. 50.
    Stovner BB, Johansen TA (2017) Hydroacoustically aided inertial navigation for joint position and attitude estimation in absence of magnetic field measurements. In: Proceedings of the 2017 American Control Conference. Seattle (WA, US), pp 1211–1218Google Scholar
  51. 51.
    Vaganay J, Baccou P, Jouvencel B (2000) Homing by acoustic ranging to a single beacon. In: Proceedings of the MTS/IEEE OCEANS 2000 Conference and Exhibition. Providence (RI, US), pp 1457–1462Google Scholar
  52. 52.
    Vallicrosa G, Ridao P (2016) Sum of gaussian beacon range-only localization for AUV homing. Annu Rev Control 42:177–187CrossRefGoogle Scholar
  53. 53.
    Vik B, Fossen TI (2001) A nonlinear observer for GPS and INS integration. In: Proceedings of the 40th IEEE Conference on Decision and Control. Orlando (FL, US), pp 2956–2961Google Scholar
  54. 54.
    Wan EA, van der Merwe R (2001) The unscented Kalman filter. Kalman filtering and neural networks. Wiley, pp 221–280Google Scholar
  55. 55.
    Webster SE, Eustice RM, Singh H, Whitcomb LL (2009) Preliminary deep-water results in single-beacon one-way-travel-time acoustic navigation for underwater vehicles. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. St. Louis (MO, US), pp 2053–2060Google Scholar
  56. 56.
    Webster SE, Walls JM, Whitcomb LL, Eustice RM (2013) Decentralized extended information filter for single-beacon cooperative acoustic navigation: theory and experiments. IEEE Trans Robot 29(4)CrossRefGoogle Scholar
  57. 57.
    Whitcomb LL, Yoerger LL, Singh H (1999) Combined Doppler/LBL based navigation of underwater vehicles. In: Proceedings of the 11th International Symposium on Unmanned Untethered Submersible Technology. Durham (NH, US)Google Scholar
  58. 58.
    Yoerger DR, Murray PG, Stahl F (2001) Estimating the vertical velocity of buoyant deep-sea hydrothermal plumes through dynamic analysis of an autonomous vehicle. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Maui (HI, US)Google Scholar
  59. 59.
    Yoerger DR, Jakuba M, Bradley AM, Bingham B (2007) Techniques for deep sea near bottom survey using an autonomous underwater vehicle. Int J Robot Res 26:41–54CrossRefGoogle Scholar
  60. 60.
    Zhang Y (1998) Current velocity profiling from an autonomous underwater vehicle with the application of kalman filtering. M.Sc thesis, MIT/WHOI Joint ProgramGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Industrial EngineeringUniversity of FlorenceFlorenceItaly

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