Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2671490.2674471acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
tutorial

Seamark-assisted Inertial Navigation for Autonomous Underwater Vehicles

Published: 12 November 2014 Publication History

Abstract

Recent technology advancements have enabled autonomous underwater vehicles to play a more significant role in sea exploration. The vehicles' mobility gives them advantages in many applications. It however poses new challenges that are often much less significant for fixed stations. Self localization is one such problem. This paper introduces a new technique that enables underwater vehicles with accumulated navigation error, such as those from inertial measurements, to correct their navigation information. Our method makes use of seamarks which are essentially lightweight beacons which serves as known marks at sea. Seamarks' main functionality is to echo back received signals. The main distinction from other studies is that there is no more than one seamark serving a geographical area. Accompanying algorithms to calibrate velocity and position information are presented and validated with simulations. The advantage of our method is its simplicity in both hardware and software, making it practical to use. With this technique, many applications that require long submersions are made possible.

References

[1]
Aulinas, J., Petillot, Y., Salvi, J., and Lladó, X. The SLAM Problem: A Survey. In Proc. CCAI (2008), pp. 363--371.
[2]
Bailey, T., and Durrant-Whyte, H. Simultaneous localization and mapping (SLAM): Part II. IEEE Robot. Autom. Mag. 13, 3 (2006), 108--117.
[3]
Ballard, R., and Archbold, R. The Discovery of the Titanic. Madison Pub., 1987.
[4]
Bar-Shalom, Y., Li, X., and Kirubarajan, T. Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software. Wiley, 2004.
[5]
Carreras, M., Ridao, P., Garcia, R., and Nicosevici, T. Vision-based Localization of an Underwater Robot in a Structured Environment. In Proc. IEEE ICRA (Sept. 2003), pp. 971--976.
[6]
Carroll, P., Mahmood, K., Zhou, S., Zhou, H., Xu, X., and Cui, J.-H. On-Demand Asynchronous Localization for Underwater Sensor Networks. IEEE T. Signal Proces. 62, 13 (2014), 3337--3348.
[7]
Colomar, D., Nilsson, J., and Handel, P. Smoothing for ZUPT-aided INSs. In Proc. IEEE IPIN (Nov. 2012).
[8]
Durrant-Whyte, H., and Bailey, T. Simultaneous Localization and Mapping: Part I. IEEE Robot. Autom. Mag. 13, 2 (2006), 99--110.
[9]
Hert, S., Tiwari, S., and Lumelsky, V. A Terrain-covering Algorithm for an AUV. Auton. Robot. 3, 2--3 (1996), 91--119.
[10]
Olson, E., Leonard, J., and Teller, S. Robust range-only beacon localization. Oceanic Engineering, IEEE Journal of 31, 4 (Oct 2006), 949--958.
[11]
Thomas, H. Gib buoys: an interface between space and depths of the oceans. In Proc. IEEE AUV (Aug 1998), pp. 181--184.
[12]
von Alt, C. Autonomous Underwater Vehicles. In Proc. Autonomous Underwater Lagrangian Platforms and Sensors Workshop (2003).
[13]
Woodman, O. J. An introduction to inertial navigation. Tech. Rep. UCAMCL-TR-696, University of Cambridge, Computer Laboratory, 2007.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
WUWNet '14: Proceedings of the 9th International Conference on Underwater Networks & Systems
November 2014
230 pages
ISBN:9781450332774
DOI:10.1145/2671490
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2014

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Tutorial
  • Research
  • Refereed limited

Conference

WUWNET '14

Acceptance Rates

WUWNet '14 Paper Acceptance Rate 9 of 27 submissions, 33%;
Overall Acceptance Rate 84 of 180 submissions, 47%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 107
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media