全息海洋:逼真的声纳模拟

Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, T. Neilsen, M. Kaess, Joshua G. Mangelson
{"title":"全息海洋:逼真的声纳模拟","authors":"Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, T. Neilsen, M. Kaess, Joshua G. Mangelson","doi":"10.1109/IROS47612.2022.9981119","DOIUrl":null,"url":null,"abstract":"Sonar sensors play an integral part in underwater robotic perception by providing imagery at long distances where standard optical cameras cannot. They have proven to be an important part in various robotic algorithms including localization, mapping, and structure from motion. Unfortunately, generating realistic sonar imagery for algorithm development is difficult due to the high cost of field trials and lack of simulation methods. To remove these obstacles, we present various upgrades to the sonar simulation method in HoloOcean, our open-source marine robotics simulator. In particular, we improve the noise modeling using a novel cluster-based multipath ray-tracing algorithm, various probabilistic noise models, and material dependence. We also develop and integrate simulated models for side-scan, single-beam, and multibeam profiling sonars.","PeriodicalId":431373,"journal":{"name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"HoloOcean: Realistic Sonar Simulation\",\"authors\":\"Easton R. Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, T. Neilsen, M. Kaess, Joshua G. Mangelson\",\"doi\":\"10.1109/IROS47612.2022.9981119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sonar sensors play an integral part in underwater robotic perception by providing imagery at long distances where standard optical cameras cannot. They have proven to be an important part in various robotic algorithms including localization, mapping, and structure from motion. Unfortunately, generating realistic sonar imagery for algorithm development is difficult due to the high cost of field trials and lack of simulation methods. To remove these obstacles, we present various upgrades to the sonar simulation method in HoloOcean, our open-source marine robotics simulator. In particular, we improve the noise modeling using a novel cluster-based multipath ray-tracing algorithm, various probabilistic noise models, and material dependence. We also develop and integrate simulated models for side-scan, single-beam, and multibeam profiling sonars.\",\"PeriodicalId\":431373,\"journal\":{\"name\":\"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS47612.2022.9981119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS47612.2022.9981119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

声纳传感器通过提供标准光学相机无法提供的远距离图像,在水下机器人感知中发挥着不可或缺的作用。它们已被证明是各种机器人算法的重要组成部分,包括定位,映射和运动结构。不幸的是,由于现场试验的高成本和缺乏仿真方法,为算法开发生成逼真的声纳图像是困难的。为了消除这些障碍,我们对我们的开源海洋机器人模拟器holooocean中的声纳模拟方法进行了各种升级。特别是,我们使用一种新的基于聚类的多路径光线跟踪算法、各种概率噪声模型和材料依赖性来改进噪声建模。我们还开发和集成了侧向扫描、单波束和多波束剖面声纳的模拟模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HoloOcean: Realistic Sonar Simulation
Sonar sensors play an integral part in underwater robotic perception by providing imagery at long distances where standard optical cameras cannot. They have proven to be an important part in various robotic algorithms including localization, mapping, and structure from motion. Unfortunately, generating realistic sonar imagery for algorithm development is difficult due to the high cost of field trials and lack of simulation methods. To remove these obstacles, we present various upgrades to the sonar simulation method in HoloOcean, our open-source marine robotics simulator. In particular, we improve the noise modeling using a novel cluster-based multipath ray-tracing algorithm, various probabilistic noise models, and material dependence. We also develop and integrate simulated models for side-scan, single-beam, and multibeam profiling sonars.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信