Laser only feature based multi robot SLAM
文献类型：会议论文
| 作者 | Syed Riaz un Nabi Jafri; Zhao Li; Aftab Ahmed Chandio; Ryad Chellali |
| 出版日期 | 2012 |
| 会议名称 | 12th International Conference on Control, Automation, Robotics and Vision (ICARCV) |
| 会议地点 | 中国 |
| 英文摘要 | This paper presents multi-robot simultaneous localization and mapping (SLAM) framework for a team of robots with unknown initial poses. The proposed solution is using feature based Rao-Blackwellised particle filter (RBPF) SLAM for each robot working in an unknown environment equipped only with 2D range sensor and communication module. To represent the environment in compact form, line and corner features (or point features) are used. By sharing and comparing distinct feature based maps of each robot, a global map with known poses is formed without any physical meeting among the robots. This approach can easily applicable to the distributed or centralized robotic systems with ease of data handling and reduced computational cost. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4263]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Syed Riaz un Nabi Jafri,Zhao Li,Aftab Ahmed Chandio,et al. Laser only feature based multi robot SLAM[C]. 见:12th International Conference on Control, Automation, Robotics and Vision (ICARCV). 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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