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Autonomous Robots

, Volume 41, Issue 2, pp 417–436 | Cite as

Underwater map-based localization using flow features

  • Naveed MuhammadEmail author
  • Gert Toming
  • Jeffrey A. Tuhtan
  • Mark Musall
  • Maarja Kruusmaa
Article

Abstract

Underwater robots conventionally use vision and sonar sensors for autonomous localization. Fish on the other hand also have the ability to sense flow, which assists them in navigating. Recently, it has been shown that bioinspired flow sensing can be used in robotics, for tasks such as object detection and positioning in laboratory conditions. In this paper we present a map-based localization technique using flow sensing. The technique is based upon compact histogram features that are extracted from frequency spectra of pressure data acquired using a single piezo-resistive sensor. The features are used to create flow-based map of an underwater environment, and later during an off-line localization phase, similar features are again extracted and used inside a particle filter in order to perform localization. Experiments carried out using pressure data acquired inside a model fish pass validate the proposed technique.

Keywords

Flow sensing Flow-feature extraction Map-based localization Underwater robotics 

Notes

Acknowledgments

This work has been funded by the project FISHVIEW, that has received funding from BONUS, the joint Baltic Sea research and development programme (Art 185), funded jointly from the European Unions Seventh Programme, Keskkonnainvesteeringute Keskus (Estonia), Forschungszentrum Jlich Beteiligungsgesellschaft mbH (Germany) and Academy of Finland.

Supplementary material

10514_2016_9558_MOESM1_ESM.mpg (2.4 mb)
Supplementary material 1 (mpg 2440 KB)

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Naveed Muhammad
    • 1
    Email author
  • Gert Toming
    • 1
  • Jeffrey A. Tuhtan
    • 2
  • Mark Musall
    • 3
  • Maarja Kruusmaa
    • 1
  1. 1.Center for BioroboticsTallinn University of TechnologyTallinnEstonia
  2. 2.SJE Ecohydraulic Engineering GmbHStuttgartGermany
  3. 3.Institute of Water and River Basin ManagementKarlsruhe Institute of TechnologyKarlsruheGermany

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