首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Multi-Modal Sonar Mapping of Offshore Cable Lines with an Autonomous Surface Vehicle
  • 本地全文:下载
  • 作者:Jongdae Jung ; Yeongjun Lee ; Jeonghong Park
  • 期刊名称:Journal of Marine Science and Engineering
  • 电子版ISSN:2077-1312
  • 出版年度:2022
  • 卷号:10
  • 期号:1
  • 页码:361
  • DOI:10.3390/jmse10030361
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Monitoring offshore infrastructure is a challenging task owing to the harsh ocean environment. To reduce human involvement in this task, this study proposes an autonomous surface vehicle (ASV)-based structural monitoring system for inspecting power cable lines under the ocean surface. The proposed ASV was equipped with multimodal sonar sensors, including a multibeam echosounder (MBES) and side-scan sonar (SSS) for mapping the seafloor, combined with a precisely estimated vehicle pose from navigation sensors. In particular, a globally consistent map was developed using the orthometric height as a vertical datum estimated based on the geoid height received from the GPS. Accordingly, the MBES and SSS generate a map of the target objects in the form of point clouds and sonar images, respectively. Dedicated outlier removal methods for MBES sensing were proposed to preserve the sparse inlier point cloud, and we applied the projection of the SSS image pixels to reflect the geometry of the seafloor. A field test was conducted in an ocean environment using real offshore cable lines to verify the efficiency of the proposed monitoring system.
国家哲学社会科学文献中心版权所有