Data fusion method for underwater object localization

Yun Lu, Weijia Li, Xiao Wang
{"title":"Data fusion method for underwater object localization","authors":"Yun Lu, Weijia Li, Xiao Wang","doi":"10.1109/ICINFA.2013.6720417","DOIUrl":null,"url":null,"abstract":"Underwater small type robot has advantage with its small size, but the number and type of sensors needed to be designed carefully as its limited payload, including the method of object positioning. For the positioning of underwater target, proximate sensor is developed and the problem of data association in multi-sensors fusion is also discussed in the paper. Finally, the simulation tests show that the fusion method takes advantage of the complementary properties of the two sensors, and meets the requirements of underwater position on miniaturization, reliability and real-time.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"62 16","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2013.6720417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Underwater small type robot has advantage with its small size, but the number and type of sensors needed to be designed carefully as its limited payload, including the method of object positioning. For the positioning of underwater target, proximate sensor is developed and the problem of data association in multi-sensors fusion is also discussed in the paper. Finally, the simulation tests show that the fusion method takes advantage of the complementary properties of the two sensors, and meets the requirements of underwater position on miniaturization, reliability and real-time.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
水下目标定位的数据融合方法
水下小型机器人具有体积小的优点,但由于其有效载荷有限,包括物体定位方法有限,需要仔细设计传感器的数量和类型。针对水下目标定位问题,提出了近距传感器,并对多传感器融合中的数据关联问题进行了讨论。仿真实验表明,该融合方法充分利用了两种传感器的互补特性,满足水下定位对小型化、可靠性和实时性的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Data fusion method for underwater object localization GPMSwLF: Group physiological monitoring system with location function Phase noise suppression for OFDM system with sparse constraint A design of surgical actuator instruments of new continuum institutions and finite element analysis An estimation method of optimal feature factor based on the balance of exploration and exploitation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1