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Zhao HY(赵宏宇); Liu J(刘健); An Y(安阳); Xu GF(徐高飞); Xu CH(徐春晖); Zhao JM(赵剑明); Shang WL(尚文利); Ceng P(曾鹏)
出版日期2017
会议名称OCEANS 2017 MTS/IEEE Anchorage
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
通讯作者An Y(安阳)
中文摘要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.
收录类别EI
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
源URL[http://ir.sia.cn/handle/173321/22090]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Zhao JM(赵剑明)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Zhao HY,Liu J,An Y,et al. Path planning for multipoint seabed survey mission using autonomous underwater vehicle[C]. 见:OCEANS 2017 MTS/IEEE Anchorage. 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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