A Grid-Based Monte Carlo Localization with Hierarchical Free-Form Scan Matching

Mei Wu, Hongbin Ma*, Xinghong Zhang

*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

This paper is concerned with the localization problem of robot in unstable environment. To improve the accuracy of the localization result in the environment, a grid-based Monte Carlo localization algorithm with hierarchical free-form scan matching (MCL-HF) is proposed. In MCL-HF algorithm the distribution of the samples is adapted by the most recent observation. To simplify the process of the adaptation a feature-based scan-matching algorithm is adopted in the grid-based localization algorithm in a hierarchical free-form. The advantage of the proposed algorithm is demonstrated through the experiment results.

源语言英语
主期刊名Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
编辑Haibin Yu, Jinguo Liu, Lianqing Liu, Yuwang Liu, Zhaojie Ju, Dalin Zhou
出版商Springer Verlag
371-380
页数10
ISBN(印刷版)9783030275310
DOI
出版状态已出版 - 2019
活动12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, 中国
期限: 8 8月 201911 8月 2019

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11741 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
国家/地区中国
Shenyang
时期8/08/1911/08/19

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