Seabed Coverage Path Re-routing for an Autonomous Surface Vehicle

Andreas Hald, Oskar Emil Aver, Pernille Krog Poulsen, Inkyung Sung*, Peter Nielsen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Abstract

An Autonomous Surface Vehicle (ASV) equipped with a sonar sensor is used to survey seabed. As a ASV sails an offshore region guided by a coverage path, the unit collects sonar data utilized to map the seabed of the region. However, a sonar sensor occasionally fails to provide data with an adequate quality for the mapping. This calls the necessity of re-routing compared to the original path assigned to an operating ASV, as the ASV needs to re-visit the areas where the sensor data is inadequate. Motivated by the fact, we address the issues in the ASV re-routing from scheduling perspective and propose an approach to solve the problem.
Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions, 2019
EditorsEnrique Herrera-Viedma, Zita Vale, Peter Nielsen, Angel Martin Del Rey, Roberto Casado Vara
Number of pages8
PublisherSpringer
Publication date2020
Pages85-92
ISBN (Print)978-3-030-23945-9
ISBN (Electronic)978-3-030-23946-6
DOIs
Publication statusPublished - 2020
Event16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019 - Avila, Spain
Duration: 26 Jun 201928 Jun 2019

Conference

Conference16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019
Country/TerritorySpain
CityAvila
Period26/06/201928/06/2019
SeriesAdvances in Intelligent Systems and Computing
Volume1004
ISSN2194-5357

Keywords

  • Autonomous Surface Vehicle (ASV)
  • Coverage path planning
  • Re-routing
  • Seabed mapping

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