Detailed Information

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

Underwater robot exploration and identification using dual imaging sonar : Basin test

Authors
Lee, Y.Choi, J.Jung, J.Kim, T.Choi, H.-T.
Issue Date
2017
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Autonomous exploration; identification; Imaging sonar; Underwater robot
Citation
2017 IEEE OES International Symposium on Underwater Technology, UT 2017
Journal Title
2017 IEEE OES International Symposium on Underwater Technology, UT 2017
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8478
DOI
10.1109/UT.2017.7890335
ISSN
0000-0000
Abstract
For the underwater search task, imaging sonar is very useful equipment to obtain the visual data of the underwater environment. Generally, the search range of imaging sonar depends on the frequency of the sound. High-frequency imaging sonar is suitable to search near area within 5m and low-frequency is able to search the area between 5m to 100m. In this paper, we presents experimental results of landmarks identification using dual imaging sonar for the autonomous underwater robot exploration. The underwater robot explores autonomously and estimates the robot location using inertial sensor data. Artificial landmarks are designed and detected by dual imaging sonar. If the landmark is recognized, it is mapped to the estimated robot map. To verify the suitability of the proposed method, we perform an experiment in basin using the underwater robot, 'yShark'. ? 2017 IEEE.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

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