中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on AUV Obstacle Avoidance Based on BP Neural Network

文献类型:会议论文

作者Dong LY(董凌艳); Xu HL(徐红丽)
出版日期2017
会议名称2017 The 2nd International Conference on Robotics, Control and Automation (ICRCA 2017)
会议日期September 15-18, 2017
会议地点Kitakyushu, Japan
关键词obstacle avoidance AUV BP neural network.
页码26-29
通讯作者Dong LY(董凌艳)
中文摘要Autonomous underwater vehicle should have real-time obstacle avoidance ability of self-protection in autonomous operation in unknown environment. A three-dimensional real-time obstacle avoidance method is proposed for under-actuated AUV with the distance sensor as obstacle avoidance sensor. The output information of the distance sensor is converted into a dangerous degree which as the input of BP neural network. The output of BP neural network is the heading or the depth of AUV which is to be adjusted. The effectiveness of obstacle avoidance method based on BP neural network is verified by MATLAB simulation.
收录类别EI
产权排序1
会议录2017 The 2nd International Conference on Robotics, Control and Automation (ICRCA 2017)
会议录出版者ACM
会议录出版地New York
语种英语
ISBN号978-1-4503-5327-4
源URL[http://ir.sia.cn/handle/173321/21295]  
专题沈阳自动化研究所_海洋信息技术装备中心
作者单位1.University of Chinese Academy of Science, Beijing, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
推荐引用方式
GB/T 7714
Dong LY,Xu HL. Research on AUV Obstacle Avoidance Based on BP Neural Network[C]. 见:2017 The 2nd International Conference on Robotics, Control and Automation (ICRCA 2017). Kitakyushu, Japan. September 15-18, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

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。