Field report: Autonomous lake bed depth mapping by a portable semi-submersible USV at Mt. Zao Okama Crater lake

Atsushi Watanabe, Miwa Kuri, Keiji Nagatani

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

4 Citations (Scopus)

Abstract

This work presents a design and a field test result of a small USV system that has portability and wind tolerance for a lake bed depth mapping of volcanic crater lakes. The depth map of the crater lakes indicates an amount of water, crater wall caving, and volcanic upthrust, which is used for volcanic disaster prevention. However, todayfs depth surveillance is achieved by using a manned canoe on a lake in high-altitude, strong-winded, and restricted areas. This research is aiming to realize the autonomous Unmanned Surface Vehicle (USV) for volcanic crater lake surveillance in reducing risks to surveyors. In this research, the authors have developed the lightweight semisubmersible USV system with a high draft that has portability and wind tolerance. The result of a field test at Mt. Zao Okama Crater Lake is shown. A depth map of the north half of the Okama Crater Lake was autonomously measured by using the USV system.

Original languageEnglish
Title of host publicationSSRR 2016 - International Symposium on Safety, Security and Rescue Robotics
EditorsKamilo Melo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-219
Number of pages6
ISBN (Electronic)9781509043491
DOIs
Publication statusPublished - 2016 Dec 14
Event14th International Symposium on Safety, Security and Rescue Robotics, SSRR 2016 - Lausanne, Switzerland
Duration: 2016 Oct 232016 Oct 27

Publication series

NameSSRR 2016 - International Symposium on Safety, Security and Rescue Robotics

Other

Other14th International Symposium on Safety, Security and Rescue Robotics, SSRR 2016
Country/TerritorySwitzerland
CityLausanne
Period16/10/2316/10/27

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Safety, Risk, Reliability and Quality

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