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An improved visual SLAM algorithm based on mixed data association

  • Feng Wen*
  • , Xiaojie Chai
  • , Yuan Li
  • , Wei Zou
  • , Kui Yuan
  • , Peng Chen
  • *此作品的通讯作者
  • CAS - Institute of Automation
  • Patent Examination Cooperation Center of SIPO

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Making use of a novel artificial landmark which is called MR (Mobile Robot) code, on the basis of analysis of the motion model and observation model, an improved visual SLAM algorithm based on mixed data association is presented, which improves the localization precision of the robot and the map accuracy. Experimental results verify the effectiveness and robustness of the algorithm.

源语言英语
主期刊名WCICA 2011 - 2011 World Congress on Intelligent Control and Automation, Conference Digest
页1081-1086
页数6
DOI
出版状态已出版 - 2011
已对外发布是
活动2011 World Congress on Intelligent Control and Automation, WCICA 2011 - Taipei, 中国台湾
期限: 21 6月 2011 → 25 6月 2011

丛书

姓名Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

会议

会议2011 World Congress on Intelligent Control and Automation, WCICA 2011
国家/地区中国台湾
市Taipei
时期21/06/11 → 25/06/11

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