CASIA OpenIR  > 智能制造技术与系统研究中心  > 智能机器人
An improved visual SLAM algorithm based on mixed data association
Wen, Feng; Chai, Xiaojie; Li, Yuan; Zou, Wei; Yuan, Kui; Chen, Peng
2011
Conference Namethe World Congress on Intelligent Control and Automation (WCICA)
Source PublicationIEEE World Congresson Intelligent Control and Automation (WCICA)
Pages1081-1086
Conference Date2011
Conference PlaceTaipei, Taiwan
AbstractMaking use of a novel artificial landmark which is called MR (Mobile Robot) code, on the basis of analysis of the motion model and observation model,an improved visual SLAM algorithm based on mixed data association is presented, which improves the localization precision of the robot and the map accuracy. Experimental results verify the effectiveness and robustness of the algorithm.
KeywordSlam Extended Kalman Filter Artificial Landmark Data Association
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5232
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorWen, Feng
Recommended Citation
GB/T 7714
Wen, Feng,Chai, Xiaojie,Li, Yuan,et al. An improved visual SLAM algorithm based on mixed data association[C],2011:1081-1086.
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