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RT2: real-time ray-tracing for underwater range evaluation

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Abstract

The paper deals with the distributed acoustic localization of teams of autonomous underwater vehicles (AUVs) and proposes a novel algorithm, real-time ray-tracing (RT2), for evaluating the distance between any pair of AUVs in the team. The technique, based on a modified formulation of the non-linear sound-ray propagation laws, allows efficient handling of the distorted and reflected acoustic ray paths. The proposed algorithm can be easily implemented on-board of low-cost AUVs, requiring the presence, on each vehicle, of an acoustic modem and a pair of look-up tables, a-priori built on the basis of the assumed knowledge of the depth-dependent sound velocity profile. On such a basis, every AUV can compute its distance w.r.t. to any other neighbor team member, through time-of-flight measurements and the exchanges of depth information only.

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References

  1. Alvarez A, Caffaz A, Caiti A, Casalino G, Gualdesi L, Turetta A, Viviani R (2008) Folaga: a low-cost autonomous underwater vehicle combining glider and AUV capabilities. Ocean Eng 36: 24–38

    Article  Google Scholar 

  2. Bahr A, Leonard JJ, Fallon MF (2009) Cooperative localization of autonomous underwater vehicles. Int J Robot Res 28(6): 714–728

    Article  Google Scholar 

  3. Bar-Shalom Y, Rong-Li X, Kirubarajan T (2001) Estimation with application to tracking and navigation. Wiley, London

    Book  Google Scholar 

  4. Caiti A, Garulli A, Livide F, Prattichizzo D (2005) Localization of autonomous underwater vehicles by floating acoustic buoys: a set membership theoretic approach. IEEE J Oceanic Eng 30(1): 140–152

    Article  Google Scholar 

  5. Chandrasekhar V, Seah WK, Choo YS, Ee HV (2006) Localization in underwater sensor networks—survey and challenges. In: International Workshop on UnderWater Networks (WUWNet 06). Los Angeles, CA, USA

  6. Jaffe J, Schurgers C (2006) Sensor networks of freely drifting autonomous underwater explorers. In: International Workshop on UnderWater Networks (WUWNet 06). Los Angeles, CA, USA

  7. Jensen FB, Kuperman WA, Porter M, Schmidt H (2000) Computational ocean acoustics. Springer, New York

    Google Scholar 

  8. Kussat NH, Chadwell CD, Zimmerman R (2005) Absolute positioning of an autonomous underwater vehicle. IEEE J Oceanic Eng 30(1): 153–164

    Article  Google Scholar 

  9. Maurelli F, Krupinsky S, Petillot Y, Salvi J (2008) A particle filter approach for AUV localization. In: IEEE Oceans 2008. Quebec City, Quebec, Canada

  10. Mirza D, Schurgers C (2008) Motion-aware self-localization for underwater networks. In: International Workshop on UnderWater Networks (WUWNet 08). San Francisco, CA, USA

  11. Philip DRC (2003) An evaluation of USBL and SBL acoustic systems and the optimization of methods of calibration. Hydrogr J 108: 18–25

    Google Scholar 

  12. Ristic B, Arulampalm S, Gordon N (2004) Beyond the Kalman filter. Artech House, London

    MATH  Google Scholar 

  13. Thrun S, Burgard W, Fox D (2005) Probabilistic robotics. MIT Press, Massachusetts

    MATH  Google Scholar 

  14. Xiang X, Xu G, Zang Q, Guo Y, Huang X (2007) A novel acoustic navigation scheme for coordinated heterogeneous autonomous vehicles. In: IEEE International Conference on Mechatronics and Automation. Harbin, China

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Correspondence to Enrico Simetti.

Additional information

This research was partially funded by EU FP7 project “CO3AUVs: Cognitive Cooperative Control of Autonomous Underwater Vehicles”, under Grant Agreement n. 23 1378.

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Casalino, G., Caiti, A., Turetta, A. et al. RT2: real-time ray-tracing for underwater range evaluation. Intel Serv Robotics 4, 259–270 (2011). https://doi.org/10.1007/s11370-011-0093-8

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  • DOI: https://doi.org/10.1007/s11370-011-0093-8

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