中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Active visual tracking of free-swimming robotic fish based on automatic recognition

文献类型:会议论文

作者Sun, Feihu; Yu, Junzhi; Chen, Shifeng; Xu, De
出版日期2015
会议名称2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
会议日期June 29, 2014 - July 4, 2014
会议地点Shenyang, China
关键词Visualization, Target tracking, Histograms, Kalman filters, Target recognition, Robot kinematics
页码2879-2885
通讯作者Sun, Feihu
英文摘要Implementing automatic visual tracking for underwater robots often remains a great challenge. In this paper, we demonstrate an active visual tracking case with a free-swimming robotic fish by use of a combination of TI DM3730-centered embedded hardware and software. Specifically, automatic recognition algorithms mainly involving color-based identification and shape-based identification are proposed. In parallel with the enhanced target recognition, an improved real-time location method based on the weighed histogram representation of the target model that synthesizes the CAMSHIFT algorithm and the Kalman filter, is put forward. After that, a fuzzy logic controller based on the CPG model is employed to generate control signals related to the desired target. Aquatic experiments validate the effectiveness of the proposed algorithms.
收录类别IEEE
会议录2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
源URL[http://ir.ia.ac.cn/handle/173211/4961]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
推荐引用方式
GB/T 7714
Sun, Feihu,Yu, Junzhi,Chen, Shifeng,et al. Active visual tracking of free-swimming robotic fish based on automatic recognition[C]. 见:2014 11th World Congress on Intelligent Control and Automation, WCICA 2014. Shenyang, China. June 29, 2014 - July 4, 2014.

入库方式: OAI收割

来源: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。