摘要
[目的]针对无人艇(ASV)集群区域覆盖问题,设计一种基于电子海图信息系统(ECDIS)的多无人艇区域覆盖路径规划方法。[方法]首先,通过提取ECDIS中的海陆和水深信息,建立基于栅格化方法的无人艇集群覆盖区域环境模型。其次,提出一种基于轮盘选择法的区域划分方法,解决基于初始位置的区域划分方法区域划分不规则的问题,实现在栅格地图中对无人艇集群覆盖子区域的合理划分。最后,构建一种基于模板法的区域覆盖路径规划方法,解决生成树覆盖方法路径转弯数量较多的问题。[结果]搭建基于ECDIS的无人艇集群人机交互仿真平台,验证所提基于轮盘法和模板法的区域覆盖路径规划方法对优化规划路径转弯数量的有效性。[结论]采用所提基ECDIS的无人艇集群区域覆盖路径规划方法,实现多无人艇对海上目标任务区域的覆盖路径规划。
[Objective]Aiming at the area coverage problem of multiple autonomous surface vehicles(ASVs),this paper investigates a coverage path planning(CPP)strategy based on an electronic chart display and information system(ECDIS).[Method]First,according to the information of sea,land and water depth from ECDIS,an environmental model for the area coverage of ASVs is established based on the grid method.Second,an area division method based on the roulette wheel selection method is proposed to solve the problem of irregular area division in divided areas based on the robots'initial position method,and achieve the reasonable area division of ASVs in the grid map.Finally,a template-based area coverage path planning method is proposed to solve the problem of generating too many turns in paths generated by the spanning tree coverage agorithm.[Results]A human-machine interactive simulation platform for ASVs based on ECDIS is established to verify the effectiveness of the proposed area coverage path planning method based on the roulette wheel method and template method in optimizing the number of turns in the planning path.[Conclusion]The proposed area coverage path planning method for ASVs based on ECDIS can be used to achieve coverage path planning in target mission areas at sea.
作者
马鸣
古楠
董佳伟
尹勇
韩冰
彭周华
MA Ming;GU Nan;DONG Jiawei;YIN Yong;HAN Bing;PENG Zhouhua(College of Marine Electrical Engineering,Dalian Maritime University,Dalian 116026,China;Navigation College,Dalian Maritime University,Dalian 116026,China;National Engineering Research Center for Ship Transportation Control System,Shanghai Ship and Shipping Research Institute,Shanghai 200135,China)
出处
《中国舰船研究》
CSCD
北大核心
2024年第1期211-219,共9页
Chinese Journal of Ship Research
基金
科技创新2030—“新一代人工智能”重大项目(2022ZD0119902)
国家高层次特殊人才支持计划资助项目(36261402)
国家自然科学基金资助项目(51979020)
福建省自然科学基金资助项目(2022J011128)
大连市高层次人才创新支持计划资助项目(2022RQ010)
中国博士后科学基金资助项目(2022M720619)。
关键词
无人艇集群
区域覆盖路径规划
生成树覆盖规划
电子海图
swarming autonomous surface vehicles
area coverage path planning
spanning tree coverage planning
ECDIS