2013 IEEE International Conference on Information and Automation (ICIA)最新文献_第4页

Spectral analysis and parameter selection for BCB attitude maneuver path of flexible spacecraft 柔性航天器BCB姿态机动路径的频谱分析与参数选择

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720390

Zhen Yu, Chenxing Zhong, Yu Guo

引用次数: 5

Power line detection based on symmetric partial derivative distribution prior 基于对称偏导数先验分布的电力线检测

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720397

Weiran Cao, Xiuyi Yang, Linlin Zhu, Jianda Han, Tianran Wang

引用次数: 1

Simulation of colored time Petri nets 有色时间Petri网的仿真

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720374

Hongmei Zhang, Fei Liu, Ming Yang, Wei Li

引用次数: 1

The application of high-order cumulantin GNSS Interference Bearings Measurement 高阶累积量在GNSS干涉轴承测量中的应用

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720430

Le Zhang, Xuedong Xue, Quan Yang, Libing Wang

引用次数: 1

Multi-spectral image fusion based on the characteristic of imaging system 基于成像系统特点的多光谱图像融合

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720375

Jinling Wang, K. Song, Xiaojun He

引用次数: 14

Development of isomorphic master-slave robots with modular method 用模块化方法开发同构主从机器人

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720493

Zhifang Zheng, Y. Guan, Manjia Su, Pinhong Wu, Jie Hu, Xuefeng Zhou, Hong Zhang

{"title":"Development of isomorphic master-slave robots with modular method","authors":"Zhifang Zheng, Y. Guan, Manjia Su, Pinhong Wu, Jie Hu, Xuefeng Zhou, Hong Zhang","doi":"10.1109/ICINFA.2013.6720493","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720493","url":null,"abstract":"Developed with traditional method, most of the current existing master robots lack of sufficient flexibility and high adaptability to the slave robots, since their structure and degrees of freedom cannot be modified according to those of the slaves. To overcome these shortcomings with the existing master robots, we propose a novel master robot developed with modular method. With the modular approach, it is trivial to build isomorphic master-slave robots according to different tasks. For such isomorphic systems, the mapping between the master and the slave is one-to-one owing to their same configurations, which leads to simple, intuitive and stable control of the slave. In this paper, we introduce the development of the master-slave robotic system, focusing on the design method, the mechanical system, the control system including the hardware and software of the modules, and the communication between the master and slave. An experiment with the master-slave system performing a manipulation task in practice is carried out to illustrate the effectiveness of the presented modular method and the built master-slave system.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134449567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Urban vehicle classification based on linear SVM with efficient vector sparse coding 基于高效向量稀疏编码的线性支持向量机的城市车辆分类

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720355

Tao Ma, Yuexian Zou, Qing Ding

{"title":"Urban vehicle classification based on linear SVM with efficient vector sparse coding","authors":"Tao Ma, Yuexian Zou, Qing Ding","doi":"10.1109/ICINFA.2013.6720355","DOIUrl":"https://doi.org/10.1109/ICINFA.2013.6720355","url":null,"abstract":"This paper presents a new method to solve the urban vehicle classification problem by incorporating an efficient vector sparse coding technique with the linear support vector machine (SVM) classifier. Essentially, SIFT descriptors are able to give good local characteristics of a vehicle image. However, in general, SIFT feature vectors are nonlinearly discriminated. With sparse coding, the SIFT feature vectors can be firstly projected to a higher dimensional feature domain where the resultant sparse code vectors may be more distinguishable than those in original feature domain and thus the linear SVM classifier can be adopted. Conventional vector sparse coding is computationally expensive which reduces the practical value of sparse coding for real vehicle classification applications. In this paper, an efficient L2-norm constraint based vector sparse coding algorithm for vehicle classification has been formulated and derived accordingly. The performance evaluations using real vehicle images extracted from surveillance video data are carried out and six vehicle classes (bus, truck, SUV, van, car, and motorcycle) are considered. Experimental results validate the effectiveness of the proposed method and it is encouraged to see that a good classification performance is achieved.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Study on several especial issues of MiroSot large field robot soccer system microsot大型场地机器人足球系统若干特殊问题的研究

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720488

Hanfeng Liu, Peiliang Wu

引用次数: 0

Establishing dynamic model for mobile CARM 建立移动CARM的动态模型

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720339

G. Song, Jianda Han, Yiwen Zhao, Chen Chen

引用次数: 1

An improved FCM algorithm for ripe fruit image segmentation 成熟水果图像分割的改进FCM算法

2013 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720338

Anmin Zhu, Liu Yang

引用次数: 9