Extended strong tracking filter SLAM algorithm

Feng Wen*, Xiaojie Chai, Yuan Li, Wei Zou, Kui Yuan

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Simultaneous Localization and Mapping (SLAM) is a key issue in robotics community. This paper presents a monocular vision and odometer based SLAM algorithm, making use of a novel artificial landmark which is called MR (Mobile Robot) code. During robot motion, the information from visual observations is fused with that from the odometer by Extended Strong Tracking Filter (STF), which can construct highly accurate maps and locate the robot more accurately than EKF. A new calculation method of suboptimal multiple fading factors is proposed which overcomes the problem of discontinuous observation in normal STF SLAM. Actual experiments are carried out in indoor environment, which shows that the proposed algorithm has improved the localization precision of the robot and the map accuracy.

源语言英语
主期刊名2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011
1021-1026
页数6
DOI
出版状态已出版 - 2011
已对外发布
活动2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011 - Beijing, 中国
期限: 7 8月 201110 8月 2011

出版系列

姓名2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011

会议

会议2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011
国家/地区中国
Beijing
时期7/08/1110/08/11

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