Research on AUV Obstacle Avoidance Based on BP Neural Network | |
Dong LY(董凌艳); Xu HL(徐红丽)![]() | |
作者部门 | 海洋信息技术装备中心 |
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 |
会议录名称 | 2017 The 2nd International Conference on Robotics, Control and Automation (ICRCA 2017) |
出版者 | ACM |
出版地 | New York |
2017 | |
页码 | 26-29 |
收录类别 | EI ; CPCI(ISTP) |
EI收录号 | 20175204569586 |
WOS记录号 | WOS:000442640500006 |
产权排序 | 1 |
ISBN号 | 978-1-4503-5327-4 |
关键词 | Obstacle Avoidance Auv Bp Neural Network. |
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. |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.sia.cn/handle/173321/21295 |
专题 | 海洋信息技术装备中心 |
通讯作者 | Dong LY(董凌艳) |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China 2.University of Chinese Academy of Science, Beijing, 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]. New York:ACM,2017:26-29. |
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