期刊文献+

Scan matching using line segment relationships for map-based localization of mobile robot 被引量:1

Scan matching using line segment relationships for map-based localization of mobile robot
下载PDF
导出
摘要 A new scan matching method for mobile robot localization is presented, which takes line segment as the feature and matches the real scans in the given reference map by relationships of the directional-defined line segments. The alignment was done by hierarchically identifying the multiple relationships and the result was recorded in a correspondence matrix, where the best match is defined and selected for localization. It is indicated that the searching algorithm of the best match can find the ambiguities and get rid of them. This method with less computational cost works well in occluded environment, and can correct the error in pose estimation without the need for the estimation itself. The efficiency, accuracy and robustness of this method were verified by experiments of localization in an occluded environment and a long-distance indoor navigation. A new scan matching method for mobile robot localization is presented, which takes line segment as the feature and matches the real scans in the given reference map by relationships of the directional-defined line segments. The alignment was done by hierarchically identifying the multiple relationships and the result was recorded in a correspondence matrix, where the best match is defined and selected for localization. It is indicated that the searching algorithm of the best match can find the ambiguities and get rid of them. This method with less computational cost works well in occluded environment, and can correct the error in pose estimation without the need for the estimation itself. The efficiency, accuracy and robustness of this method were verified by experiments of localization in an occluded environment and a long-distance indoor navigation.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2008年第6期757-762,共6页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National High Technology Research and Development Program of China(Grant No.2006AA040203) The National Natural Science Foundation of China(Grant No.60475032 and 60775062) the Program for New Century Excellent Talents in University(Grant No.NCET-07-0538)
关键词 移动机器人 扫描匹配 激光探测器 稳定性 scan matching laser range finder map-based localization mobile robot
  • 相关文献

参考文献9

  • 1Altermatt M,,Martinelli A,Tomatis N,et al.SLAM with corner features based on a relative map[].Proc International Conference on Intelligent Robots and Systems.2004
  • 2Xu Z Z,Liang R H,Liu J L.Global localization based on corner point[].Proc IEEE International Symposium on Computational Intelligence in Robotics and Automation.2003
  • 3Gutmann J,Burghard W,Fox D,et al.An experimental comparison of localization methods[].Proc International Con- ference on Intelligent Robots and System.1998
  • 4Luca I,Daniele N.Hough transform based localization for mobile robots[].Proc rdIMACS/IEEE International Confer- ence of Circuits Systems Communications and Comput- ers.1999
  • 5JOACHIM W,LUTZ F,KLAUS-WERNER J. et al.Reference scan matching for global self-localization[].Robotics and Autonomous Systems.2002
  • 6Cox,I.J.Blanche-An experiment in guidance and navigation of an autonomous robot vehicle[].IEEE Transactions on Robotics and Automation.1991
  • 7Kai O.Arras,Jose A.Castlellanos,Martin Schilt,et al.Feature-based Multihypothesis Localization and Tracking Using Geometric Constrains[].Robotics and Autonomous Systems.2003
  • 8Lu,F.,Milios,E.Robot pose estimation in unknown environments by matching 2D range scans[].Intell Robotic Syst.1998
  • 9Fox D.Markov Localization:A Probabilistic Framework for Mobile Robot Localization and Navigation[]..1998

同被引文献12

  • 1Fehr L, Langbein W E, Skaar S B. Adequacy of power wheelchair control interfaces for persons with severe disabilities: A clinical survey[J].Journal of Rehabilitation Research and Development, 2000, 37 (3) : 353-360.
  • 2Simpson R C, Smart wheelchairs: A literature review[J].Journal of Rehabilitation Research & Development, 2005, 42(4). 423 -436.
  • 3Matsumoto O, Komoriya K, Hatase T, et al. Autonomous traveling control/ RSJ International of the "TAO Aicle" intelligent wheelchair[C]//Proeeedings of the 2006 IEEEConference on Intelligent Robots and Systems. Beijing, China: IEEE, 2006:4322- 4327.
  • 4Parikh S P, Grassi V, Kumar V, et al. Integrating human inputs with autonomous behaviors on an intelligent wheelchair platform [J].IEEE Intelligent Systems, Match/April, 2007, 22(2): 33-41.
  • 5Bourhis G, Horn O, Habert O, et al. An autono-mous vehicle for people with motor disabilities [J].IEEE Robotics and Automation Magazine, 2001, 8(1) : 20-28.
  • 6Beattie P D, Bishop J M. Self-localization in the 'Senario' autonomous wheelchair [ J ]. Journal of Intelligent and Robotic Systems, 1998, 22 (3-4) : 255- 267.
  • 7Prassler E, Scholz J, Fiorini P. A robotics wheelchair for crowded public environment[J]. IEEE Robotics and Automation Magazine, 2001, 8(1) : 38-45.
  • 8Lu Tao, YuanKui, ZouWei, etal. Study on navigation strategy of intelligent wheelchair in narrow spaces[C]//Proceedings of the 6th World Congress on Intelligent Control and Automation. Dalian, China: IEEE, 2006: 9252-9256.
  • 9Tomatis N, Nourbakhsh I, Siegwart R. Hybrid simultaneous localization and map building: a natural integration of topological and metric[J]. Robotics and Autonomous Systems, 2003, 44(1): 3 14.
  • 10LaValle S M. Planning algorithms[M].Cambridge, UK: Cambridge University Press, 2006.

引证文献1

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部