基于电子海图的无人潜航器路径规划

Zihao Wang, Yang Liu, Wei Li, Qiang Huang
{"title":"基于电子海图的无人潜航器路径规划","authors":"Zihao Wang, Yang Liu, Wei Li, Qiang Huang","doi":"10.1145/3598151.3598159","DOIUrl":null,"url":null,"abstract":"The path planning technology is the foundation of Unmanned Surface Vehicle(USV), and is the key to ensure the safety, efficiency and reliability of USV . This paper studies the global path planning technology of USV using the improved A* algorithm. The motion model of the USV is built and simplified under the some feasible assumptions. Then Based on two-dimensional electronic navigational charts and through the feasibility analysis of elements on the ENC.We use Photoshop software for electronic navigational charts classification, and use Matlab coding grid ENC environment model. Then using the improved A* algorithm to plan the optimal path, and evaluating and optimizing the planned path, finally reseting into the Electronic Navigational Chart. According to these steps, this paper realizes the Unmanned Surface Vehicle global path planning. The simulation results prove the effectiveness of A* algorithm for path planning to avoid the obstacle of USV.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Path Planning Based on Electronic Navigational Charts for USV\",\"authors\":\"Zihao Wang, Yang Liu, Wei Li, Qiang Huang\",\"doi\":\"10.1145/3598151.3598159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The path planning technology is the foundation of Unmanned Surface Vehicle(USV), and is the key to ensure the safety, efficiency and reliability of USV . This paper studies the global path planning technology of USV using the improved A* algorithm. The motion model of the USV is built and simplified under the some feasible assumptions. Then Based on two-dimensional electronic navigational charts and through the feasibility analysis of elements on the ENC.We use Photoshop software for electronic navigational charts classification, and use Matlab coding grid ENC environment model. Then using the improved A* algorithm to plan the optimal path, and evaluating and optimizing the planned path, finally reseting into the Electronic Navigational Chart. According to these steps, this paper realizes the Unmanned Surface Vehicle global path planning. The simulation results prove the effectiveness of A* algorithm for path planning to avoid the obstacle of USV.\",\"PeriodicalId\":398644,\"journal\":{\"name\":\"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3598151.3598159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3598151.3598159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

路径规划技术是无人水面飞行器(USV)的基础,是保证无人水面飞行器安全、高效、可靠的关键。本文利用改进的A*算法研究了无人潜航器的全局路径规划技术。在一些可行的假设下,建立并简化了无人潜航器的运动模型。然后在二维电子海图的基础上,通过对ENC元素的可行性分析,利用Photoshop软件对电子海图进行分类,并利用Matlab编写网格ENC环境模型。然后利用改进的A*算法规划出最优路径,并对规划的路径进行评估和优化,最终重置到电子海图中。根据这些步骤,本文实现了无人水面飞行器的全局路径规划。仿真结果证明了A*算法对无人潜航器避障路径规划的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path Planning Based on Electronic Navigational Charts for USV
The path planning technology is the foundation of Unmanned Surface Vehicle(USV), and is the key to ensure the safety, efficiency and reliability of USV . This paper studies the global path planning technology of USV using the improved A* algorithm. The motion model of the USV is built and simplified under the some feasible assumptions. Then Based on two-dimensional electronic navigational charts and through the feasibility analysis of elements on the ENC.We use Photoshop software for electronic navigational charts classification, and use Matlab coding grid ENC environment model. Then using the improved A* algorithm to plan the optimal path, and evaluating and optimizing the planned path, finally reseting into the Electronic Navigational Chart. According to these steps, this paper realizes the Unmanned Surface Vehicle global path planning. The simulation results prove the effectiveness of A* algorithm for path planning to avoid the obstacle of USV.
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:481959085
Book学术官方微信