标题:A Multi-sensor-based Mobile Robot Localization Framework
作者:Duan, Peng; Tian, Guohui; Wu, Hao
通讯作者:Tian, Guohui
作者机构:[Duan, Peng; Tian, Guohui; Wu, Hao] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China.
会议名称:2014 IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议日期:DEC 05-10, 2014
来源:2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014
出版年:2014
页码:642-647
DOI:10.1109/ROBIO.2014.7090403
摘要:This paper presents a novel multi-sensor-based robot localization framework inspired by human coarse-to-fine recognition mechanism to realize fast and robust localization in the process of robot navigation. This localization framework consists of two parts: coarse place recognition and accurate location estimation. The coarse place recognition is realized using an onboard camera, whereas an image retrieval system is employed. The coarse localization system utilizes feature matching between the observed image and the re-ranked retrieval images to infer the possible locations of the robot. To obtain the accurate pose of robot, a modified particle filter which is mainly based on the laser radar data is implemented. To integrate the two localization stages, the current states of the particles are monitored. Once the information entropy changed greatly or the number of the effective particles is in a low level, a set of pointed particles is generated based on these estimated locations and then injected into the modified particle filter timely to ensure that enough particles are surviving around the correct pose of robot. Experiments are conducted extensively in an office environment and the results exhibits great improvement on speed and stability of mobile robot localization compared to conventional localization methods.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:2
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949929421&doi=10.1109%2fROBIO.2014.7090403&partnerID=40&md5=f08d5ba3d684c63ff6bfd2ac22d4eca7
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