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作者:

Wang, Ke (Wang, Ke.) | Jia, Songmin (Jia, Songmin.) (学者:贾松敏) | Li, Yuchen (Li, Yuchen.) | Li, Xiuzhi (Li, Xiuzhi.) | Guo, Bing (Guo, Bing.)

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CPCI-S

摘要:

Multi-robotic system is widely used in exploring in large-scale unknown environment and performing the complex tasks. This paper presents a method of local map merging for Multi-robotic system using RTM as communication platform. We integrate Scale-Invariant Feature Transform (SIFT) feature matching information with iterative closest point (ICP) algorithm to realize the local map merging. We use the USARSim as simulation platform to realize topological map and map merging for the environment in which mobile robots moving using the proposed method. The paper details the architecture of the proposed method and gives some experiments to verify the effectiveness.

关键词:

ICP map merging Multi-robotic system RTM SIFT

作者机构:

  • [ 1 ] [Wang, Ke]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 2 ] [Jia, Songmin]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 3 ] [Li, Yuchen]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 4 ] [Li, Xiuzhi]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
  • [ 5 ] [Guo, Bing]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Ke]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China

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来源 :

PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION

年份: 2012

页码: 156-161

语种: 英文

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

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