DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sung, M. | - |
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Yu, S.-C. | - |
dc.date.accessioned | 2022-06-22T08:40:14Z | - |
dc.date.available | 2022-06-22T08:40:14Z | - |
dc.date.created | 2022-05-03 | - |
dc.date.issued | 2019-09-19 | - |
dc.identifier.issn | 2405-8963 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/112997 | - |
dc.description.abstract | Sonar sensors are widely utilized underwater because they can observe long-ranged objects and are tolerant to measurement conditions, such as turbidity and light conditions. However, sonar images have low quality and hard to collect, so development and application of sonar-based algorithms are difficult. This paper proposes a method to generate realistic sonar images or to segment real sonar image, to better utilize the sonar sensors. A simple sonar image simulator was implemented using a ray-tracing method. The simulator could calculate semantic information of real sonar images including properties of highlight, background, and shadow regions. Then, a generative adversarial network translated the simulated images into more realistic images or real sonar images into simulated-like images. The proposed method can be used to augment or pre-process sonar images. © 2019. The Authors. Published by Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | Elsevier B.V. | - |
dc.relation.isPartOf | 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2019 | - |
dc.relation.isPartOf | IFAC-PapersOnLine | - |
dc.title | Realistic Sonar Image Simulation Using Generative Adversarial Network | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2019, pp.291 - 296 | - |
dc.citation.conferenceDate | 2019-09-18 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | KAIST | - |
dc.citation.endPage | 296 | - |
dc.citation.startPage | 291 | - |
dc.citation.title | 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2019 | - |
dc.contributor.affiliatedAuthor | Sung, M. | - |
dc.contributor.affiliatedAuthor | Kim, J. | - |
dc.contributor.affiliatedAuthor | Kim, J. | - |
dc.contributor.affiliatedAuthor | Yu, S.-C. | - |
dc.identifier.scopusid | 2-s2.0-85079651867 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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