Energy-constrained informative routing for AUVs

Nikolaos Tsiogkas, Valerio De Carolis, David Michael Lane

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

2 Citations (Scopus)

Abstract

Autonomous underwater vehicles have proven their roles as useful tools for scientific exploration and data gathering. The current state of the art in commercial vehicles involves a statical mission planning phase which does not take into account any energy or time limits. This work proposes the use of a mixed integer quadratic programming solution that maximises the utility of data gathering missions under time or energy constraints. This method is compared against other constrained and unconstrained mixed integer linear programming methods. Results confirm that the method is producing better quality paths in the expense of higher computation time.

Original languageEnglish
Title of host publicationOCEANS 2016 - Shanghai
PublisherIEEE
ISBN (Electronic)9781467397247
DOIs
Publication statusPublished - 9 Jun 2016
EventOCEANS 2016 - Shanghhai, China
Duration: 10 Apr 201613 Apr 2016

Conference

ConferenceOCEANS 2016
CountryChina
CityShanghhai
Period10/04/1613/04/16

ASJC Scopus subject areas

  • Oceanography
  • Automotive Engineering

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    Tsiogkas, N., De Carolis, V., & Lane, D. M. (2016). Energy-constrained informative routing for AUVs. In OCEANS 2016 - Shanghai [7485386] IEEE. https://doi.org/10.1109/OCEANSAP.2016.7485386