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  • 标题:Edge-Node Map Based Localization without External Sensor Data ⁎
  • 本地全文:下载
  • 作者:M. Kimba ; N. Machinaka ; Y. Kuroda
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:22
  • 页码:203-208
  • DOI:10.1016/j.ifacol.2018.11.542
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we propose a novel localization method which utilize a edge-node map and information from only inner sensors. To reduce integration errors, we estimate the passed edge from measured moving distance and direction, and integrate the trajectory of the odometry with the estimated edge. We performed two kinds of experiments. First, we operated the robot in four kinds of environments. Second, the robot travel autonomously using this method. From these experiments, we confirmed that our localization system works properly in various kinds of environments and for autonomous driving.
  • 关键词:KeywordsRoboticsAutonomous mobile robotsRobust estimationRobot navigationObstacle detection
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