Navigation approaches for hovering autonomous underwater vehicles

Alon Baruch, Eran Kamber, Itay Arbel, Boris Braginsky, Hugo Guterman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

For an intelligent autonomous underwater system to interact with its environment, it needs to achieve a navigation solution as accurate as possible. Traditional dead reckoning approach can only achieve a low drift error; therefore, the position accuracy monotonically decreases with distance traveled. Approaches such as simultaneous localization and mapping (SLAM) and sharing location information between different vehicles can improve localization accuracy. The approaches for Autonomous Underwater Vehicle (AUV) navigation and preliminary experimental and simulations results will be presented in this work.

Original languageEnglish
Title of host publication2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781509021529
DOIs
StatePublished - 4 Jan 2017
Event2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel
Duration: 16 Nov 201618 Nov 2016

Publication series

Name2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/TerritoryIsrael
CityEilat
Period16/11/1618/11/16

Keywords

  • AUV
  • Dead Reckoning
  • Navigation
  • SLAM

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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