Acoustic Image Simulator Based on Active Sonar Model in Underwater Environment

Ngoc Trung Mai, Yonghoon Ji, Hanwool Woo, Yusuke Tamura, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Underwater tasks such as maintenance, inspection, target recognition, or simultaneous localization and mapping (SLAM) require accurate underwater information. Acoustic cameras are outstanding sensors for acquiring underwater information because, even in turbid water, they can provide acoustic images with more accurate detail than what other sensors provide. In this paper, we proposes a novel acoustic image simulator based on active sonar model analyzing the correlation between signal processing and an image display mechanism that have not yet been clarified. The results demonstrate that our proposed simulator can successfully generate realistic virtual acoustic images from arbitrary viewpoints.

Original languageEnglish
Title of host publication2018 15th International Conference on Ubiquitous Robots, UR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages775-780
Number of pages6
ISBN (Print)9781538663349
DOIs
Publication statusPublished - 2018 Aug 20
Event15th International Conference on Ubiquitous Robots, UR 2018 - Honolulu, United States
Duration: 2018 Jun 272018 Jun 30

Publication series

Name2018 15th International Conference on Ubiquitous Robots, UR 2018

Conference

Conference15th International Conference on Ubiquitous Robots, UR 2018
Country/TerritoryUnited States
CityHonolulu
Period18/6/2718/6/30

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