{"title":"Depth Information Integrated Pose Graph Optimization for Multiple UUVs","authors":"Zhikun Zhu;Yichen Li;Wenbin Yu;Cailian Chen;Xinping Guan","doi":"10.1109/JAS.2025.125654","DOIUrl":null,"url":null,"abstract":"Dear Editor, This letter investigates the pose estimation problem of multiple unmanned underwater vehicles (UUVs), which suffers from significant accuracy fluctuations due to the harsh underwater environments. Traditional methods rely solely on the observations of individual UUV, leading to the lack of robustness and low accuracy. Aiming at this problem, the designed algorithm enhances estimation accuracy by integrating depth information and relative observations, deriving a stable and fast pose update formula. Through simulations, the advantages of the proposed algorithm are verified by comparisons with different alternative ones.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"13 9","pages":"2169-2171"},"PeriodicalIF":18.3000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11716154","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ieee-Caa Journal of Automatica Sinica","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11716154/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/29 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Dear Editor, This letter investigates the pose estimation problem of multiple unmanned underwater vehicles (UUVs), which suffers from significant accuracy fluctuations due to the harsh underwater environments. Traditional methods rely solely on the observations of individual UUV, leading to the lack of robustness and low accuracy. Aiming at this problem, the designed algorithm enhances estimation accuracy by integrating depth information and relative observations, deriving a stable and fast pose update formula. Through simulations, the advantages of the proposed algorithm are verified by comparisons with different alternative ones.
期刊介绍:
The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control.
Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.