中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Path planning for multipoint seabed survey mission using autonomous underwater vehicle

文献类型:会议论文

作者Xu CH(徐春晖)2; Xu GF(徐高飞)1,2; Zhao HY(赵宏宇)2; Liu J(刘健)2; An Y(安阳)1,2
出版日期2017
会议日期September 18-21, 2017
会议地点Anchorage, USA
关键词Autonomous Underwater Vehicles Path Planning Multipoint Seabed Survey K-means Clustering Ant Colony Algorithm
页码1-5
英文摘要

This paper focuses on the problem of seabed survey mission with multiple target points distributed in large scale area. To complete the survey with AUVs in minimum cost, a two-step procedure using greed strategy is presented. In the first step, the locations of so-called anchor points are found by executing k-means algorithm iteratively. In the second step, an ant-cycle system is used to find out the optimized order of access from each anchor point to target points nearby. Simulation is also implemented to prove the validity of the algorithm.

产权排序1
会议录OCEANS 2017 MTS/IEEE Anchorage
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-0-692-94690-9
WOS记录号WOS:000455012000240
源URL[http://119.78.100.139/handle/173321/22111]  
专题沈阳自动化研究所_水下机器人研究室
通讯作者An Y(安阳)
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
推荐引用方式
GB/T 7714
Xu CH,Xu GF,Zhao HY,et al. Path planning for multipoint seabed survey mission using autonomous underwater vehicle[C]. 见:. Anchorage, USA. September 18-21, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

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