Building a self-adjusted map for mobile robot navigation
文献类型：会议论文
| 作者 | Ke Xu; Lei Zhang; Ruiqing Fu; Yongsheng Ou; Xinyu Wu |
| 出版日期 | 2010 |
| 会议名称 | 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 |
| 英文摘要 | An accurate map is essential to autonomous mobile robots. Two of the most popular map types are Occupancy Grid Map (OGM) and Topological Map(TM). However, the OGM is inefficient since it requires a large amount of memory to represent the environment. The TM, on the other hand, is difficult to apply to accurate navigation and location because it lacks environmental information. In this paper, a self-adjusted mapping method is proposed with integrating the two map types. It navigates the robot more efficiently than an OGM, and more accurately than a TM. With this new map type, a reliable path could be obtained in real-time. Simulation experiments validate its efficiency and reliability. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2904]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Ke Xu,Lei Zhang,Ruiqing Fu,et al. Building a self-adjusted map for mobile robot navigation[C]. 见:2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010. |
入库方式： OAI收割
来源：深圳先进技术研究院
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