Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Autonomous Underwater Vehicle Navigation in Structured Environment

Full metadata record
DC Field Value Language
dc.contributor.author박대길-
dc.contributor.author이영준-
dc.contributor.author정광익-
dc.contributor.author강형주-
dc.contributor.author기현승-
dc.contributor.author이정우-
dc.contributor.author최영호-
dc.contributor.author이계홍-
dc.contributor.author명현-
dc.contributor.author최현택-
dc.contributor.author서진호-
dc.date.accessioned2021-12-08T10:40:30Z-
dc.date.available2021-12-08T10:40:30Z-
dc.date.issued20181002-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3022-
dc.description.abstractWith the increase in developments in underwater infrastructure, the demand for development of autonomous vehicle navigation system in structured environment is also increased. However, the localization in a structured environment is a challenging problem due to signal uncertainties and distortions. In order to overcome these problems, we propose the camera and sonar aided integrated navigation system. In the proposed sensor-fusion-based localization scheme, the AUV estimates its own position continuously using artificial landmarks. The artificial landmarks for image sonar is deployed along the path to guide the AUV to the structure. The active vision markers are installed on the jacket structure, and they function as both landmarks and waypoints. This approach prevents the inherent drift of dead-reckoning velocities and collision with structures. The proposed approach was verified through a real sea experiment. The AUV conducted the full autonomous navigation from the dock to the jacket structure, and then returned to the dock without collision or significant localization error. These results show the feasibility of full autonomous navigation in a structured environment.-
dc.language영어-
dc.language.isoENG-
dc.titleAutonomous Underwater Vehicle Navigation in Structured Environment-
dc.title.alternativeAutonomous Underwater Vehicle Navigation in Structured Environment-
dc.typeConference-
dc.citation.title2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage1-
dc.citation.conferenceName2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)-
dc.citation.conferencePlace스페인-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Choi, Hyun Taek photo

Choi, Hyun Taek
지능형선박연구본부
Read more

Altmetrics

Total Views & Downloads

BROWSE