Knowledge Commons of Institute of Automation,CAS
Automatic real-time SLAM relocalization based on a hierarchical bipartite graph model | |
Dong QiuLei; Gu ZhaoPeng; Hu ZhanYi | |
发表期刊 | SCIENCE CHINA-INFORMATION SCIENCES |
2012-12-01 | |
卷号 | 55期号:12页码:2841-2848 |
文章类型 | Article |
摘要 | The need to increase the robustness of a real-time monocular SLAM system raises the important problem of relocalization; namely, how to automatically recover a SLAM system after tracking failures. We address this problem by proposing a real-time relocalization algorithm based on a hierarchical bipartite graph model. When the SLAM system is lost, we use the latter model to find sufficient correspondences between the detected image and stored map features, thus achieving efficient, real-time relocalization. The model accounts for both temporal and spatial constraints. Experimental results on both synthetic and real data support the effectiveness of the proposed algorithm. |
关键词 | Monocular Slam Real-time Relocalization Hierarchical Bipartite Graph Model |
WOS标题词 | Science & Technology ; Technology |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems |
WOS记录号 | WOS:000312884300013 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/2998 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
通讯作者 | Dong QiuLei |
作者单位 | Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Dong QiuLei,Gu ZhaoPeng,Hu ZhanYi. Automatic real-time SLAM relocalization based on a hierarchical bipartite graph model[J]. SCIENCE CHINA-INFORMATION SCIENCES,2012,55(12):2841-2848. |
APA | Dong QiuLei,Gu ZhaoPeng,&Hu ZhanYi.(2012).Automatic real-time SLAM relocalization based on a hierarchical bipartite graph model.SCIENCE CHINA-INFORMATION SCIENCES,55(12),2841-2848. |
MLA | Dong QiuLei,et al."Automatic real-time SLAM relocalization based on a hierarchical bipartite graph model".SCIENCE CHINA-INFORMATION SCIENCES 55.12(2012):2841-2848. |
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2841.pdf(655KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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