{"title":"Research on Intelligent Segmentation Processing and Navigation Area Optimization methods Based on ENC","authors":"Bing Li, Mingze Li, Zhigang Qi","doi":"10.1109/ICMA57826.2023.10215741","DOIUrl":null,"url":null,"abstract":"As marine resources are being exploited, intelligent navigation is becoming more important, and intelligent optimization of navigation areas is the key to intelligent navigation. In this paper, we propose a framework for intelligent segmentation processing and optimization of navigation areas based on electronic nautical charts (ENC), addressing the problem of ignoring the depth of the sea and the state of the vessel in traditional chart processing and route selection. Combined with navigation-related standards, ship data, marine environment, etc., we build a model for the relationship between the permissible water depth of navigation and the ship’s draft depth, and optimize the navigation area through the intelligent segmentation algorithm of electronic nautical charts, which helps to improve the safety of ship navigation. Finally, the effectiveness of the proposed ship navigation area optimization framework is verified through experiments.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA57826.2023.10215741","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
As marine resources are being exploited, intelligent navigation is becoming more important, and intelligent optimization of navigation areas is the key to intelligent navigation. In this paper, we propose a framework for intelligent segmentation processing and optimization of navigation areas based on electronic nautical charts (ENC), addressing the problem of ignoring the depth of the sea and the state of the vessel in traditional chart processing and route selection. Combined with navigation-related standards, ship data, marine environment, etc., we build a model for the relationship between the permissible water depth of navigation and the ship’s draft depth, and optimize the navigation area through the intelligent segmentation algorithm of electronic nautical charts, which helps to improve the safety of ship navigation. Finally, the effectiveness of the proposed ship navigation area optimization framework is verified through experiments.