QQ客服 官方微博 反馈留言

	The Obstacle Avoidance Planning of USV Based on Improved Artificial Potential Field
	Xie, Shaorong[1]; Wu, Peng[2]; Peng, Yan[3]; Luo, Jun[4]; Qu, Dong[5]; Li, Qingmei[6]; Gu, Jason[7]
	2014
会议名称	2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA)
会议日期	2014-01-01
关键词	obstacle avoidance planning Unmanned Surface Vehicle Artificial Potential Field local minimum
页码	746-751
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/2279946
专题	上海大学
作者单位	1.[1]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 2.[2]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 3.[3]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 4.[4]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 5.[5]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 6.[6]Shanghai Univ, Dept Mechatron Engn, Shanghai, Peoples R China. 7.[7]Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS B3H 4R2, Canada.
推荐引用方式 GB/T 7714	Xie, Shaorong[1],Wu, Peng[2],Peng, Yan[3],et al. The Obstacle Avoidance Planning of USV Based on Improved Artificial Potential Field[C]. 见:2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA). 2014-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。