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Vision Servoing Based on the Density Analysis of Texture Elements
Liu XM(刘晓民); Zhu F(朱枫)
Department光电信息技术研究室
Source PublicationINTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
ISSN1729-8806
2013
Volume10Pages:1-7
Indexed BySCI ; EI
EI Accession number20131816305679
WOS IDWOS:000316461400001
Contribution Rank2
KeywordVision Servoing Texture Station Keeping Robot Vision Control
AbstractWe present a novel vision servoing method, which is fit for climbing robots and those in unstructured environments, based on texture analysis. A large textured area is the target for observation. After the definition of texture element distribution density, the relationship between the change of the density at some selected points and the camera pose is deduced. The vision servoing control law, which meets the requirement of Lyapunov stability is designed in this paper. Experiments show the effectiveness of this method.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectRobotics
WOS KeywordEDGE
WOS Research AreaRobotics
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10529
Collection光电信息技术研究室
Corresponding AuthorLiu XM(刘晓民)
Affiliation1.College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Liu XM,Zhu F. Vision Servoing Based on the Density Analysis of Texture Elements[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2013,10:1-7.
APA Liu XM,&Zhu F.(2013).Vision Servoing Based on the Density Analysis of Texture Elements.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,10,1-7.
MLA Liu XM,et al."Vision Servoing Based on the Density Analysis of Texture Elements".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 10(2013):1-7.
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