An improved visual SLAM algorithm based on mixed data association | |
Wen, Feng; Chai, Xiaojie; Li, Yuan; Zou, Wei; Yuan, Kui; Chen, Peng | |
2011 | |
会议名称 | the World Congress on Intelligent Control and Automation (WCICA) |
会议录名称 | IEEE World Congresson Intelligent Control and Automation (WCICA) |
页码 | 1081-1086 |
会议日期 | 2011 |
会议地点 | Taipei, Taiwan |
摘要 | Making 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. |
关键词 | Slam Extended Kalman Filter Artificial Landmark Data Association |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/5232 |
专题 | 智能制造技术与系统研究中心_智能机器人 |
通讯作者 | Wen, Feng |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
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