期刊名称:IOP Conference Series: Earth and Environmental Science
印刷版ISSN:1755-1307
电子版ISSN:1755-1315
出版年度:2019
卷号:300
期号:2
页码:1-9
DOI:10.1088/1755-1315/300/2/022037
出版社:IOP Publishing
摘要:In order to monitor the water quality in real time, all monitoring points should be covered by Unmanned Surface Vessel (USV). This paper takes the USV as the research object and proposes an improved genetic algorithm to solve the complete coverage path planning (CCPP) problem to ensure that the USV can cover all monitoring points, and minimize the path length, the rate of repeat grid and running time of the algorithm. The feasibility of this solution model is verified by simulation on the platform of Visual Studio.