Marine Vehicles Localization Using Grid Cells for Path Integration

Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Autonomous Underwater Vehicles (AUVs) are platforms used for research and exploration of marine environments. However, these types of vehicles face many challenges that hinder their widespread use in the industry. One of the main limitations is obtaining accurate position estimation, due to the lack of GPS signal underwater. This estimation is usually done with Kalman filters. However, new developments in the neuroscience field have shed light on the mechanisms by which mammals are able to obtain a reliable estimation of their current position based on external and internal motion cues. A new type of neuron, called Grid cells, has been shown to be part of path integration system in the brain. In this article, we show how grid cells can be used for obtaining a position estimation of underwater vehicles. The model of grid cells used requires only the linear velocities together with heading orientation and provides a reliable estimation of the vehicle's position. We provide simulation results for an AUV which show the feasibility of our proposed methodology.

Original languageEnglish
Title of host publicationOCEANS 2021
Subtitle of host publicationSan Diego - Porto
ISBN (Electronic)9780692935590
Publication statusPublished - 15 Feb 2022
EventOCEANS 2021: San Diego - Porto - San Diego, United States
Duration: 20 Sept 202123 Sept 2021


ConferenceOCEANS 2021: San Diego - Porto
Country/TerritoryUnited States
CitySan Diego


  • Autonomous underwater vehicles
  • Grid cells
  • Navigation
  • Neuro inspired agents

ASJC Scopus subject areas

  • Oceanography


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