中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A robust and efficient mapping and positioning system

文献类型:会议论文

作者Hua Z(华智)2; Song JL(宋吉来)1; Du ZJ(杜振军)1; Liu MM( 刘明敏)1; Hu, Jintao1
出版日期2021
会议日期July 27-31, 2021
会议地点Jiaxing, China
页码414-419
英文摘要We designed a lightweight SLAM system for mapping and positioning in complex environments. The real-time mapping and localization (SLAM) framework we built is mainly divided into two parts: front-end optimization, and back-end closed-loop detection. In the first part of the front-end optimization, a random sampling consensus algorithm is used for ground segmentation and adding ground constraint is to prevent map from bending. In the second part of closed-loop detection, an improved text scanning algorithm is used to optimize the back-end pose. The entire SLAM framework is highly adaptable to the scene, has the characteristics of lightweight and high robustness. © 2021 IEEE.
源文献作者IEEE Robotics and Automation Society ; Shenyang Institute of Automation CAS ; Shenzhen Academy of Robotics
产权排序1
会议录2021 IEEE 11th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2021
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号2642-6633
ISBN号978-1-6654-2527-8
源URL[http://ir.sia.cn/handle/173321/29930]  
专题沈阳自动化研究所_其他
通讯作者Hua Z(华智)
作者单位1.Central Research Institute, SIASUN Robot Automation Co, Ltd, Shenyang City, Liaoning 110168, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences University, Shenyang City, Liaoning, 110016, China
推荐引用方式
GB/T 7714
Hua Z,Song JL,Du ZJ,et al. A robust and efficient mapping and positioning system[C]. 见:. Jiaxing, China. July 27-31, 2021.

入库方式: OAI收割

来源:沈阳自动化研究所

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